Abstract is: Neural Computation is a monthly peer-reviewed scientific journal covering all aspects of neural computation, including modeling the brain and the design and construction of neurally-inspired information processing systems. It was established in 1989 and is published by MIT Press. The editor-in-chief is Terrence J. Sejnowski (Salk Institute for Biological Studies). According to the Journal Citation Reports, the journal has a 2014 impact factor of 2.207.
scientific journal | Q5633421 |
P6981 | ACNP journal ID | 82633 |
2114282 | ||
P8375 | Crossref journal ID | 5730 |
P1250 | Danish Bibliometric Research Indicator (BFI) SNO/CNO | 14168 |
P1609 | Dialnet journal ID | 983 |
P1058 | ERA Journal ID | 40723 |
P646 | Freebase ID | /m/047fj83 |
P8903 | HAL journal ID | 17364 |
P236 | ISSN | 0899-7667 |
1530-888X | ||
P7363 | ISSN-L | 0899-7667 |
P1277 | JUFO ID | 63861 |
P1055 | NLM Unique ID | 9426182 |
P243 | OCLC control number | 39265996 |
P856 | official website | http://books.google.com/books?id=bCRVAAAAMAAJ |
http://books.google.com/books?id=GS1VAAAAMAAJ | ||
http://books.google.com/books?id=gyxVAAAAMAAJ | ||
http://books.google.com/books?id=WitVAAAAMAAJ | ||
http://www.mitpressjournals.org/loi/neco | ||
P10283 | OpenAlex ID | V207023548 |
P3181 | OpenCitations bibliographic resource ID | 40933 |
P3417 | Quora topic ID | Neural-Computation |
Neural-Computation-journal | ||
P7662 | Scilit journal ID | 578737 |
P1156 | Scopus source ID | 24782 |
P495 | country of origin | United States of America | Q30 |
P1240 | Danish Bibliometric Research Indicator level | 2 | |
P98 | editor | Terrence J. Sejnowski | Q2405291 |
P571 | inception | 1989-01-01 | |
P8875 | indexed in bibliographic review | Science Citation Index Expanded | Q104047209 |
Scopus | Q371467 | ||
P407 | language of work or name | English | Q1860 |
P921 | main subject | machine learning | Q2539 |
neuroinformatics | Q1931480 | ||
P123 | publisher | The MIT Press | Q73820 |
P1813 | short name | Neural Comput | |
P1476 | title | Neural Computation |
Q39771769 | 1D Current Source Density (CSD) Estimation in Inverse Theory: A Unified Framework for Higher-Order Spectral Regularization of Quadrature and Expansion-Type CSD Methods |
Q95500173 | 2-Degree-of-freedom Robot Path Planning using Cooperative Neural Fields |
Q43239833 | 3D Axon structure extraction and analysis in confocal fluorescence microscopy images |
Q80023990 | 3D periodic human motion reconstruction from 2D motion sequences |
Q114926585 | A "Thermal" Perceptron Learning Rule |
Q45991903 | A (somewhat) new solution to the variable binding problem. |
Q89078076 | A Basic Phase Diagram of Neuronal Dynamics |
Q74135509 | A Bayesian approach to the stereo correspondence problem |
Q47224025 | A Bayesian committee machine |
Q52046058 | A Bayesian framework for sensory adaptation. |
Q95500128 | A Biologically Supported Error-Correcting Learning Rule |
Q50743144 | A Block Successive Lower-Bound Maximization Algorithm for the Maximum Pseudo-Likelihood Estimation of Fully Visible Boltzmann Machines. |
Q92194264 | A Case of Near-Optimal Sensory Integration Based on Kohonen Self-Organizing Maps |
Q99569105 | A Cerebellar Computational Mechanism for Delay Conditioning at Precise Time Intervals |
Q88596307 | A Combinatorial Model for Dentate Gyrus Sparse Coding |
Q64124254 | A Comparative Study of Pairwise Learning Methods Based on Kernel Ridge Regression |
Q88350854 | A Computational Account of the Role of Cochlear Nucleus and Inferior Colliculus in Stabilizing Auditory Nerve Firing for Auditory Category Learning |
Q48188401 | A Computational Model as Neurodecoder Based on Synchronous Oscillation in the Visual Cortex |
Q92194245 | A Computational Perspective of the Role of the Thalamus in Cognition |
Q108922944 | A Computational Study on Synaptic Plasticity Regulation and Information Processing in Neuron-Astrocyte Networks |
Q89289951 | A Computationally Efficient Visual Saliency Algorithm Suitable for an Analog CMOS Implementation |
Q95500198 | A Computer Simulation of Oscillatory Behavior in Primary Visual Cortex |
Q91189945 | A Continuous-Time Analysis of Distributed Stochastic Gradient |
Q114926547 | A Convergence Result for Learning in Recurrent Neural Networks |
Q124991820 | A Counterexample to Temporal Differences Learning |
Q38836895 | A Customized Attention-Based Long Short-Term Memory Network for Distant Supervised Relation Extraction. |
Q51034218 | A DC programming approach for finding communities in networks. |
Q96293564 | A Discrete-Time Neurodynamic Approach to Sparsity-Constrained Nonnegative Matrix Factorization |
Q91588950 | A Distributed Framework for the Construction of Transport Maps |
Q64984877 | A Dynamic Neural Gradient Model of Two-Item and Intermediate Transposition. |
Q50578588 | A Fast Algorithm for Learning Overcomplete Dictionary for Sparse Representation Based on Proximal Operators. |
Q52238088 | A Fast and Robust Cluster Update Algorithm for Image Segmentation in Spin-Lattice Models Without Annealing. Visual Latencies Revisited. |
Q56553343 | A Fixed Size Storage O(n3) Time Complexity Learning Algorithm for Fully Recurrent Continually Running Networks |
Q59265254 | A Function Estimation Approach to Sequential Learning with Neural Networks |
Q123244780 | A Further Result on the ICA One-Bit-Matching Conjecture |
Q48334105 | A Gaussian attractor network for memory and recognition with experience-dependent learning. |
Q60191362 | A General Framework for Dimensionality-Reducing Data Visualization Mapping |
Q93062152 | A Geometrical Analysis of Global Stability in Trained Feedback Networks |
Q35631313 | A Hebbian/Anti-Hebbian Neural Network for Linear Subspace Learning: A Derivation from Multidimensional Scaling of Streaming Data. |
Q49579883 | A Kernel Embedding-Based Approach for Nonstationary Causal Model Inference. |
Q64018570 | A Kinetic Model of Short- and Long-Term Potentiation |
Q52047962 | A Lagrange multiplier and Hopfield-type barrier function method for the traveling salesman problem. |
Q114872251 | A Learning Algorithm for Continually Running Fully Recurrent Neural Networks |
Q52322425 | A Learning Framework for Winner-Take-All Networks with Stochastic Synapses. |
Q29301197 | A Local Learning Rule That Enables Information Maximization for Arbitrary Input Distributions |
Q89078074 | A Locally Optimal Algorithm for Estimating a Generating Partition from an Observed Time Series and Its Application to Anomaly Detection |
Q95324741 | A Mathematical Analysis of Memory Lifetime in a Simple Network Model of Memory |
Q42292970 | A Mathematical Framework for Statistical Decision Confidence |
Q39987686 | A Mathematical Motivation for Complex-Valued Convolutional Networks |
Q95500161 | A Matrix Method for Optimizing a Neural Network |
Q97597327 | A Mean-Field Description of Bursting Dynamics in Spiking Neural Networks with Short-Term Adaptation |
Q92497766 | A Mechanism for Synaptic Copy Between Neural Circuits |
Q92497759 | A Minimum Free Energy Model of Motor Learning |
Q95324721 | A Model for the Study of the Increase in Stimulus and Change Point Detection with Small and Variable Spiking Delays |
Q95500156 | A Modified Quickprop Algorithm |
Q51641095 | A Monte Carlo EM approach for partially observable diffusion processes: theory and applications to neural networks. |
Q44408840 | A Monte Carlo Metropolis-Hastings algorithm for sampling from distributions with intractable normalizing constants |
Q114140798 | A Neural Model for Insect Steering Applied to Olfaction and Path Integration |
Q89289962 | A New Foreperiod Effect on Intertrial Phase Coherence. Part I: Existence and Behavioral Relevance |
Q92118200 | A New Nonlinear Sparse Component Analysis for a Biologically Plausible Model of Neurons |
Q114926522 | A Normative Account of Confirmation Bias During Reinforcement Learning |
Q50491167 | A Note on Divergences. |
Q86016711 | A Note on Entropy Estimation |
Q123189139 | A Note on Stone's Conjecture of Blind Signal Separation |
Q50547922 | A Note on Support Vector Machines with Polynomial Kernels. |
Q60241110 | A Note on the Decomposition Methods for Support Vector Regression |
Q103742087 | A Novel Neural Model with Lateral Interaction for Learning Tasks |
Q39771703 | A Novel Nonparametric Approach for Neural Encoding and Decoding Models of Multimodal Receptive Fields. |
Q91053168 | A Novel Optimization Framework to Improve the Computational Cost of Muscle Activation Prediction for a Neuromusculoskeletal System |
Q38546933 | A Novel Parameter Estimation Method for Boltzmann Machines |
Q90124178 | A Novel Predictive-Coding-Inspired Variational RNN Model for Online Prediction and Recognition |
Q47727707 | A Novel Reconstruction Framework for Time-Encoded Signals with Integrate-and-Fire Neurons. |
Q52326005 | A Perceptron Reveals the Face of Sex |
Q47434291 | A Perceptual-Like Population-Coding Mechanism of Approximate Numerical Averaging |
Q52238079 | A Potts Neuron Approach to Communication Routing. |
Q95500189 | A Practical Approach for Representing Context and for Performing Word Sense Disambiguation Using Neural Networks |
Q30047622 | A Practical Bayesian Framework for Backpropagation Networks |
Q98469097 | A Predictive-Coding Network That Is Both Discriminative and Generative |
Q114926657 | A Proposal for More Powerful Learning Algorithms |
Q41325586 | A Quasi-Likelihood Approach to Nonnegative Matrix Factorization |
Q92497775 | A Real-Time Health 4.0 Framework with Novel Feature Extraction and Classification for Brain-Controlled IoT-Enabled Environments |
Q88350863 | A Reinforcement Learning Neural Network for Robotic Manipulator Control |
Q92194251 | A Reservoir Computing Model of Reward-Modulated Motor Learning and Automaticity |
Q95500137 | A Resource-Allocating Network for Function Interpolation |
Q92194256 | A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures |
Q35665009 | A Reward-Maximizing Spiking Neuron as a Bounded Rational Decision Maker |
Q56386249 | A Robot that Walks; Emergent Behaviors from a Carefully Evolved Network |
Q91189924 | A Robust Model of Gated Working Memory |
Q38640770 | A Robust Regression Framework with Laplace Kernel-Induced Loss |
Q40600669 | A Simple Label Switching Algorithm for Semisupervised Structural SVMs |
Q91157011 | A Simple Model for Low Variability in Neural Spike Trains |
Q50647886 | A Single Hidden Layer Feedforward Network with Only One Neuron in the Hidden Layer Can Approximate Any Univariate Function. |
Q47326912 | A Single, Continuously Applied Control Policy for Modeling Reaching Movements with and without Perturbation. |
Q50208103 | A Sparse Reformulation of the Green's Function Formalism Allows Efficient Simulations of Morphological Neuron Models. |
Q62494342 | A Sparse Representation for Function Approximation |
Q30048693 | A Spike-Train Probability Model |
Q40830687 | A Statistical Framework to Infer Delay and Direction of Information Flow from Measurements of Complex Systems |
Q60241023 | A Study on L2-Loss (Squared Hinge-Loss) Multiclass SVM |
Q114926642 | A Subgrouping Strategy that Reduces Complexity and Speeds Up Learning in Recurrent Networks |
Q90425729 | A Survey on Deep Learning for Multimodal Data Fusion |
Q52590061 | A Theory of Sequence Indexing and Working Memory in Recurrent Neural Networks. |
Q92376190 | A Tree-Structured Algorithm for Reducing Computation in Networks with Separable Basis Functions |
Q36319528 | A Unified Theory of Neuro-MRI Data Shows Scale-Free Nature of Connectivity Modes |
Q47727523 | A Unifying Framework of Synaptic and Intrinsic Plasticity in Neural Populations |
Q34491608 | A Unifying Review of Linear Gaussian Models |
Q39391760 | A Universal Approximation Theorem for Mixture-of-Experts Models. |
Q52948675 | A Universal Model for Spike-Frequency Adaptation |
Q38754213 | A Weight-Adaptive Laplacian Embedding for Graph-Based Clustering. |
Q45986788 | A bayesian model of polychronicity. |
Q50772861 | A bi-prototype theory of facial attractiveness. |
Q51853026 | A binary variable model for affinity propagation. |
Q50745001 | A bio-inspired, computational model suggests velocity gradients of optic flow locally encode ordinal depth at surface borders and globally they encode self-motion. |
Q44739266 | A biological gradient descent for prediction through a combination of STDP and homeostatic plasticity |
Q48670429 | A biologically motivated solution to the cocktail party problem. |
Q51817982 | A bound on modeling error in observable operator models and an associated learning algorithm. |
Q51227374 | A calcium-based simple model of multiple spike interactions in spike-timing-dependent plasticity. |
Q51894059 | A canonical neural circuit for cortical nonlinear operations. |
Q51098550 | A causal perspective on the analysis of signal and noise correlations and their role in population coding. |
Q33543267 | A cerebellar model of timing and prediction in the control of reaching |
Q42736251 | A classification method to distinguish cell-specific responses elicited by current pulses in hippocampal CA1 pyramidal cells |
Q30934847 | A classification paradigm for distributed vertically partitioned data |
Q51636360 | A coarse-to-fine disparity energy model with both phase-shift and position-shift receptive field mechanisms. |
Q40062426 | A common network architecture efficiently implements a variety of sparsity-based inference problems |
Q52059502 | A comparative study of feature-salience ranking techniques. |
Q46948410 | A comparison of descriptive models of a single spike train by information-geometric measure |
Q48380267 | A compartmental model of linear resonance and signal transfer in dendrites. |
Q49028045 | A competitive-layer model for feature binding and sensory segmentation. |
Q48956814 | A complex cell-like receptive field obtained by information maximization. |
Q51590828 | A complex-valued RTRL algorithm for recurrent neural networks. |
Q47893542 | A computational feedforward model predicts categorization of masked emotional body language for longer, but not for shorter, latencies |
Q42250591 | A computational model for rhythmic and discrete movements in uni- and bimanual coordination |
Q38448217 | A computational model for visual selection |
Q52165450 | A computational model of lateralization and asymmetries in cortical maps. |
Q45273748 | A computational model of the functional role of the ventral-striatal D2 receptor in the expression of previously acquired behaviors |
Q41213094 | A computationally efficient method for incorporating spike waveform information into decoding algorithms |
Q43076157 | A computationally efficient method for nonparametric modeling of neural spiking activity with point processes |
Q45410578 | A conditional entropy minimization criterion for dimensionality reduction and multiple kernel learning. |
Q43691963 | A connection between score matching and denoising autoencoders |
Q33342751 | A connectionist computational model for epistemic and temporal reasoning |
Q43489214 | A constrained EM algorithm for independent component analysis |
Q52022336 | A constrained EM algorithm for principal component analysis. |
Q46741454 | A continuous entropy rate estimator for spike trains using a K-means-based context tree |
Q43826420 | A cooperative recurrent neural network for solving L(1) estimation problems with general linear constraints. |
Q48135347 | A detailed and fast model of extracellular recordings. |
Q48205356 | A developmental approach AIDS motor learning. |
Q51558361 | A differential model of the complex cell. |
Q79276135 | A distributed computing tool for generating neural simulation databases |
Q46361396 | A dynamic causal model of the coupling between pulse stimulation and neural activity. |
Q51611398 | A fast L(p) spike alignment metric. |
Q33996665 | A fast learning algorithm for deep belief nets |
Q30679295 | A fast, compact approximation of the exponential function |
Q46485699 | A fast, streaming SIMD Extensions 2, logistic squashing function |
Q51579008 | A finite-sample, distribution-free, probabilistic lower bound on mutual information. |
Q51853020 | A first-order nonhomogeneous Markov model for the response of spiking neurons stimulated by small phase-continuous signals. |
Q42201098 | A framework for evaluating pairwise and multiway synchrony among stimulus-driven neurons |
Q51645467 | A framework for simulating and estimating the state and functional topology of complex dynamic geometric networks. |
Q51550629 | A general likelihood framework for characterizing the time course of neural activity. |
Q51645654 | A general probability estimation approach for neural comp. |
Q28288067 | A generalized divergence measure for nonnegative matrix factorization |
Q41922899 | A generalized linear integrate-and-fire neural model produces diverse spiking behaviors |
Q46238872 | A geometric Newton method for Oja's vector field |
Q52040330 | A global optimum approach for one-layer neural networks. |
Q47816711 | A gradient learning rule for the tempotron |
Q45754511 | A graphical model framework for decoding in the visual ERP-based BCI speller |
Q45812694 | A grouped ranking model for item preference parameter. |
Q45966534 | A hierarchical Bayesian model for learning nonlinear statistical regularities in nonstationary natural signals. |
Q34768439 | A hierarchical adaptive approach to optimal experimental design |
Q52018005 | A hierarchical dynamical map as a basic frame for cortical mapping and its application to priming. |
Q48434869 | A hierarchical model of binocular rivalry. |
Q42656932 | A hierarchy of associations in hippocampo-cortical systems: cognitive maps and navigation strategies |
Q48021679 | A homomorphic neural network for modeling and prediction |
Q46939762 | A learning rule for local synaptic interactions between excitation and shunting inhibition |
Q48130478 | A low-order model of biological neural networks |
Q45966835 | A machine learning method for extracting symbolic knowledge from recurrent neural networks. |
Q48751754 | A master equation formalism for macroscopic modeling of asynchronous irregular activity states. |
Q51873083 | A mathematical analysis of the effects of Hebbian learning rules on the dynamics and structure of discrete-time random recurrent neural networks. |
Q45965763 | A maximum likelihood approach to density estimation with semidefinite programming. |
Q38398647 | A maximum-likelihood interpretation for slow feature analysis |
Q51916923 | A measurement fusion method for nonlinear system identification using a cooperative learning algorithm. |
Q28298513 | A method for selecting the bin size of a time histogram |
Q39544168 | A model for fast analog computation based on unreliable synapses |
Q48557396 | A model for learning topographically organized parts-based representations of objects in visual cortex: topographic nonnegative matrix factorization. |
Q53011942 | A model for perceptual averaging and stochastic bistable behavior and the role of voluntary control. |
Q48371659 | A model of indispensability of a large glial layer in cerebrovascular circulation. |
Q52070199 | A model of invariant object recognition in the visual system: learning rules, activation functions, lateral inhibition, and information-based performance measures. |
Q48944355 | A model of motion transparency processing with local center-surround interactions and feedback. |
Q52204021 | A model of spatial map formation in the hippocampus of the rat. |
Q30435388 | A model of the differential representation of signal novelty in the local field potentials and spiking activity of the ventrolateral prefrontal cortex |
Q51678147 | A modified algorithm for generalized discriminant analysis. |
Q52337552 | A modular and hybrid connectionist system for speaker identification. |
Q48404816 | A moving bump in a continuous manifold: a comprehensive study of the tracking dynamics of continuous attractor neural networks. |
Q50952169 | A multichip neuromorphic system for spike-based visual information processing. |
Q44120806 | A multiclass classification method based on decoding of binary classifiers |
Q51012728 | A multifactor winner-take-all dynamics. |
Q51645453 | A multiscale correlation of wavelet coefficients approach to spike detection. |
Q44789906 | A network model of perceptual suppression induced by transcranial magnetic stimulation. |
Q42039320 | A network of spiking neurons for computing sparse representations in an energy-efficient way. |
Q47325329 | A neural circuit for robust time-to-contact estimation based on primate MST. |
Q39140893 | A neural framework for organization and flexible utilization of episodic memory in cumulatively learning baby humanoids |
Q41683762 | A neural mass model with direct and indirect excitatory feedback loops: identification of bifurcations and temporal dynamics |
Q48455715 | A neural model of contour integration in the primary visual cortex. |
Q48457165 | A neural model of the scintillating grid illusion: disinhibition and self-inhibition in early vision. |
Q52076256 | A neural network architecture for visual selection. |
Q51578995 | A neural network model for the acquisition of a spatial body scheme through sensorimotor interaction. |
Q46198222 | A neural network model of temporal code generation and position-invariant pattern recognition |
Q31138057 | A neural network model of the Eriksen task: reduction, analysis, and data fitting |
Q52047957 | A neural-network-based approach to the double traveling salesman problem. |
Q52270245 | A neuro-mimetic dynamic scheduling algorithm for control: analysis and applications. |
Q38474482 | A neurocomputational approach to prepositional phrase attachment ambiguity resolution |
Q45918856 | A neurocomputational model for cocaine addiction. |
Q51831584 | A new approach for estimating the attraction domain for Hopfield-type neural networks. |
Q30990108 | A new approach to spatial covariance modeling of functional brain imaging data: ordinal trend analysis |
Q52089346 | A new approach to the extraction of ANN rules and to their generalization capacity through GP. |
Q39790979 | A new backpropagation learning algorithm for layered neural networks with nondifferentiable units |
Q48137552 | A new bidimensional neural field model with heterogeneous connection topology |
Q44718867 | A new class of metrics for spike trains |
Q45985953 | A new clustering approach on the basis of dynamical neural field. |
Q51993666 | A new concept for separability problems in blind source separation. |
Q52029901 | A new discriminative kernel from probabilistic models. |
Q48410541 | A new hypothesis for sleep: tuning for criticality. |
Q42665704 | A new multineuron spike train metric. |
Q52066860 | A new on-line learning model. |
Q44557738 | A new supervised learning algorithm for spiking neurons |
Q48589737 | A no-go theorem for one-layer feedforward networks. |
Q45365551 | A non-Markovian random walk underlies a stochastic model of spike-timing-dependent plasticity |
Q52202091 | A nonlinear Hebbian network that learns to detect disparity in random-dot stereograms. |
Q50656093 | A nonparametric clustering algorithm with a quantile-based likelihood estimator. |
Q50853524 | A note on Lewicki-Sejnowski gradient for learning overcomplete representations. |
Q51938594 | A note on the applied use of MDL approximations. |
Q51916919 | A novel generic hebbian ordering-based fuzzy rule base reduction approach to mamdani neuro-fuzzy system. |
Q51143460 | A novel iterative method for computing generalized inverse. |
Q48471651 | A novel model-based hearing compensation design using a gradient-free optimization method. |
Q51665665 | A novel recurrent neural network with finite-time convergence for linear programming. |
Q47894449 | A novel spike distance |
Q52200953 | A numerical study on learning curves in stochastic multilayer feedforward networks. |
Q51134877 | A parallel dual matrix method for blind signal separation. |
Q47345741 | A parallel mixture of SVMs for very large scale problems |
Q52224768 | A parallel noise-robust algorithm to recover depth information from radial flow fields. |
Q52197439 | A penalty-function approach for pruning feedforward neural networks. |
Q52076260 | A phase model of temperature-dependent mammalian cold receptors. |
Q47894611 | A population density approach that facilitates large-scale modeling of neural networks: extension to slow inhibitory synapses |
Q47886717 | A population study of integrate-and-fire-or-burst neurons |
Q44959938 | A preference for phase-based disparity in a neuromorphic implementation of the binocular energy model |
Q47834682 | A principle for learning egocentric-allocentric transformation |
Q44986168 | A principled dimension-reduction method for the population density approach to modeling networks of neurons with synaptic dynamics |
Q45162702 | A probabilistic framework for region-specific remodeling of dendrites in three-dimensional neuronal reconstructions |
Q45960843 | A proof of convergence of the concave-convex procedure using Zangwill's theory. |
Q48637364 | A proposed function for hippocampal theta rhythm: separate phases of encoding and retrieval enhance reversal of prior learning. |
Q51639822 | A quantified sensitivity measure for multilayer perceptron to input perturbation. |
Q52070183 | A quantitative study of fault tolerance, noise immunity, and generalization ability of MLPs |
Q34726513 | A rate and history-preserving resampling algorithm for neural spike trains |
Q29040742 | A reflexive neural network for dynamic biped walking control |
Q52135461 | A reinforcement learning approach to online clustering. |
Q51831608 | A reproducing kernel Hilbert space framework for spike train signal processing. |
Q51341968 | A robust information clustering algorithm. |
Q47748212 | A scalable kernel-based semisupervised metric learning algorithm with out-of-sample generalization ability |
Q47786744 | A scale-invariant internal representation of time |
Q46296997 | A self-organized artificial neural network architecture for sensory integration with applications to letter-phoneme integration. |
Q50763730 | A self-organized neural comparator. |
Q48911601 | A self-organizing model of "color blob" formation. |
Q41705412 | A self-organizing neural network architecture for navigation using optic flow |
Q52202692 | A self-organizing neural network for the traveling salesman problem that is competitive with simulated annealing. |
Q35226412 | A semiparametric Bayesian model for detecting synchrony among multiple neurons. |
Q51899597 | A sensorimotor approach to sound localization. |
Q48593941 | A sensorimotor map: modulating lateral interactions for anticipation and planning. |
Q52196151 | A sequential learning scheme for function approximation using minimal radial basis function neural networks. |
Q45978639 | A set probability technique for detecting relative time order across multiple neurons. |
Q39545062 | A signal-flow-graph approach to on-line gradient calculation |
Q45946664 | A silicon implementation of the fly's optomotor control system. |
Q51957396 | A simple Hebbian/anti-Hebbian network learns the sparse, independent components of natural images. |
Q47875822 | A simple and stable numerical solution for the population density equation. |
Q48637215 | A simple common contexts explanation for the development of abstract letter identities. |
Q51650919 | A simple competitive account of some response properties of visual neurons in area MSTd. |
Q74343583 | A simple model of long-term spike train regularization |
Q42436718 | A simple model of transmitter release and facilitation |
Q73265495 | A simple neural network exhibiting selective activation of neuronal ensembles: from winner-take-all to winners-share-all |
Q30468028 | A simple spike train decoder inspired by the sampling theorem |
Q48404806 | A simulation study investigating the impact of dendritic morphology and synaptic topology on neuronal firing patterns. |
Q51993659 | A solution for two-dimensional mazes with use of chaotic dynamics in a recurrent neural network model. |
Q80490256 | A sparse generative model of V1 simple cells with intrinsic plasticity |
Q46307139 | A spike-timing-based integrated model for pattern recognition |
Q46527698 | A spiking neural model for stable reinforcement of synapses based on multiple distal rewards |
Q48765915 | A spiking neural network model of an actor-critic learning agent. |
Q39888960 | A spiking neuron as information bottleneck |
Q48392374 | A spiking neuron model of cortical correlates of sensorineural hearing loss: Spontaneous firing, synchrony, and tinnitus. |
Q44999108 | A spline framework for estimating the EEG surface laplacian using the Euclidean metric |
Q48435167 | A state-space analysis for reconstruction of goal-directed movements using neural signals. |
Q51970254 | A statistical theory of long-term potentiation and depression. |
Q40602081 | A stochastic method to predict the consequence of arbitrary forms of spike-timing-dependent plasticity. |
Q31913446 | A stochastic self-organizing map for proximity data |
Q46846003 | A study on neural learning on manifold foliations: the case of the Lie group SU(3). |
Q50606459 | A study on the optimal double parameters for steepest descent with momentum. |
Q46436657 | A subjective distance between stimuli: quantifying the metric structure of representations |
Q51647536 | A systematic and effective supervised learning mechanism based on Jacobian rank deficiency. |
Q39990085 | A systematic method for configuring VLSI networks of spiking neurons |
Q35158305 | A taxonomy for spatiotemporal connectionist networks revisited: the unsupervised case |
Q51986980 | A temporal stability approach to position and attention-shift-invariant recognition. |
Q46948414 | A theoretical analysis of the influence of fixational instability on the development of thalamocortical connectivity |
Q51659118 | A theoretical basis for emergent pattern discrimination in neural systems through slow feature extraction. |
Q73098001 | A theoretical model of axon guidance by the Robo code |
Q44584540 | A theory of slow feature analysis for transformation-based input signals with an application to complex cells |
Q71066828 | A theory of the visual motion coding in the primary visual cortex |
Q74409494 | A tighter bound for graphical models |
Q47751179 | A transition to sharp timing in stochastic leaky integrate-and-fire neurons driven by frozen noisy input |
Q44409352 | A two-layer model of natural stimuli estimated with score matching |
Q52135435 | A unified analysis of value-function-based reinforcement- learning algorithms. |
Q51462169 | A unified approach to building and controlling spiking attractor networks. |
Q48859804 | A unified approach to the study of temporal, correlational, and rate coding. |
Q45959832 | A unified classification model based on robust optimization. |
Q51930647 | A unifying view of wiener and volterra theory and polynomial kernel regression. |
Q52128254 | A variational method for learning sparse and overcomplete representations. |
Q51899613 | A very simple spiking neuron model that allows for modeling of large, complex systems. |
Q36344416 | A-type K(+) current can act as a trigger for bursting in the absence of a slow variable. |
Q48380231 | ANUBIS: artificial neuromodulation using a Bayesian inference system. |
Q89289954 | ASIC Implementation of a Nonlinear Dynamical Model for Hippocampal Prosthesis |
Q51029036 | Abstract stimulus-specific adaptation models. |
Q51473090 | Accelerated multiplicative updates and hierarchical ALS algorithms for nonnegative matrix factorization. |
Q43499633 | Accelerated spike resampling for accurate multiple testing controls |
Q90701089 | Accelerating Nonnegative Matrix Factorization Algorithms Using Extrapolation |
Q47823675 | Accelerating event-driven simulation of spiking neurons with multiple synaptic time constants. |
Q48591095 | Accuracy and Efficiency in Fixed-Point Neural ODE Solvers. |
Q62493417 | Accurate On-line Support Vector Regression |
Q47734503 | Accurate connection strength estimation based on variational bayes for detecting synaptic plasticity |
Q114926581 | Acetylcholine and Learning in a Cortical Associative Memory |
Q50499951 | Active Inference and Learning in the Cerebellum. |
Q89289959 | Active Inference, Belief Propagation, and the Bethe Approximation |
Q45946400 | Active Inference, Curiosity and Insight. |
Q50475315 | Active Inference: A Process Theory. |
Q104747901 | Active Inference: Demystified and Compared |
Q40830695 | Active Learning Using Hint Information. |
Q98469093 | Active Learning for Enumerating Local Minima Based on Gaussian Process Derivatives |
Q100745209 | Active Learning for Level Set Estimation under Input Uncertainty and Its Extensions |
Q98469096 | Active Learning of Bayesian Linear Models with High-Dimensional Binary Features by Parameter Confidence-Region Estimation |
Q114926625 | Active Perception and Reinforcement Learning |
Q33932015 | Active data collection for efficient estimation and comparison of nonlinear neural models |
Q40519715 | Active inference, evidence accumulation, and the urn task |
Q50785539 | Active subspace: toward scalable low-rank learning. |
Q47888166 | Activity-dependent development of axonal and dendritic delays, or, why synaptic transmission should be unreliable |
Q91447602 | Adaptive Gaussian Process Approximation for Bayesian Inference with Expensive Likelihood Functions |
Q90316099 | Adaptive Learning Algorithm Convergence in Passive and Reactive Environments |
Q114926520 | Adaptive Learning Neural Network Method for Solving Time–Fractional Diffusion Equations |
Q56505849 | Adaptive Mixtures of Local Experts |
Q50000087 | Adaptive Structure Concept Factorization for Multiview Clustering. |
Q52017210 | Adaptive algorithm for blind separation from noisy time-varying mixtures. |
Q52208428 | Adaptive calibration of imaging array detectors. |
Q38379977 | Adaptive capability of recurrent neural networks with fixed weights for series-parallel system identification |
Q47325315 | Adaptive classification on brain-computer interfaces using reinforcement signals. |
Q35909322 | Adaptive decoding for brain-machine interfaces through Bayesian parameter updates |
Q46082845 | Adaptive design optimization: a mutual information-based approach to model discrimination in cognitive science. |
Q45966833 | Adaptive hybrid learning for neural networks. |
Q48871372 | Adaptive improved natural gradient algorithm for blind source separation. |
Q46706079 | Adaptive integration in the visual cortex by depressing recurrent cortical circuits |
Q52075525 | Adaptive method of realizing natural gradient learning for multilayer perceptrons. |
Q44625879 | Adaptive metric learning vector quantization for ordinal classification |
Q50673918 | Adaptive multiclass classification for brain computer interfaces. |
Q41704654 | Adaptive neural coding dependent on the time-varying statistics of the somatic input current |
Q47324840 | Adaptive optimal control without weight transport |
Q48455743 | Adaptive relevance matrices in learning vector quantization. |
Q49009713 | Adaptive spatiotemporal receptive field estimation in the visual pathway. |
Q51853024 | Adaptive synchronization of activities in a recurrent network. |
Q51704513 | Adaptive two-pass median filter based on support vector machines for image restoration. |
Q52050068 | Adjusting the outputs of a classifier to new a priori probabilities: a simple procedure. |
Q113757197 | Advancements in Algorithms and Neuromorphic Hardware for Spiking Neural Networks |
Q91053165 | Advancing System Performance with Redundancy: From Biological to Artificial Designs |
Q48842981 | Advancing the boundaries of high-connectivity network simulation with distributed computing. |
Q90124203 | Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning |
Q52066862 | Algebraic analysis for nonidentifiable learning machines. |
Q52175540 | Algorithmic stability and sanity-check bounds for leave-one-out cross-validation. |
Q28424414 | Algorithms for sparse nonnegative Tucker decompositions |
Q71066830 | Alignment of coexisting cortical maps in a motor control model |
Q95440790 | Almost linear VC-dimension bounds for piecewise polynomial networks |
Q51898309 | Almost periodic dynamics of a class of delayed neural networks with discontinuous activations. |
Q114926545 | Alopex: A Correlation-Based Learning Algorithm for Feedforward and Recurrent Neural Networks |
Q48334090 | Alteration of ambient GABA by phasic and tonic neuronal activation. |
Q44914079 | Alternating direction methods for latent variable gaussian graphical model selection |
Q46584559 | Alternating proximal regularized dictionary learning. |
Q45682752 | Ambient GABA responsible for age-related changes in multistable perception |
Q33194204 | An Adjustment to the Time-Rescaling Method for Application to Short-Trial Spike Train Data |
Q123258701 | An Algorithm for Building Regularized Piecewise Linear Discrimination Surfaces: The Perceptron Membrane |
Q52106924 | An Analysis of Synaptic Normalization in a General Class of Hebbian Models |
Q30354467 | An Approximation of the Error Backpropagation Algorithm in a Predictive Coding Network with Local Hebbian Synaptic Plasticity. |
Q100745213 | An EM Algorithm for Capsule Regression |
Q90316111 | An Empirical Evaluation of Rule Extraction from Recurrent Neural Networks |
Q40288928 | An Empirical Model for Reliable Spiking Activity. |
Q40282912 | An Empirical Overview of the No Free Lunch Theorem and Its Effect on Real-World Machine Learning Classification |
Q52235860 | An Energy Function and Continuous Edit Process for Graph Matching. |
Q52185418 | An Equivalence Between Sparse Approximation and Support Vector Machines. |
Q95500284 | An Exponential Response Neural Net |
Q91189934 | An FPGA Implementation of Deep Spiking Neural Networks for Low-Power and Fast Classification |
Q47304650 | An Infinite Restricted Boltzmann Machine |
Q51024258 | An Infomax algorithm can perform both familiarity discrimination and feature extraction in a single network. |
Q28291012 | An Information-Maximization Approach to Blind Separation and Blind Deconvolution |
Q47623209 | An Initialization Method Based on Hybrid Distance for k-Means Algorithm |
Q88133632 | An Interneuron Circuit Reproducing Essential Spectral Features of Field Potentials |
Q31913436 | An On-line agglomerative clustering method for nonstationary data. |
Q47600318 | An Online Policy Gradient Algorithm for Markov Decision Processes with Continuous States and Actions |
Q50488185 | An Online Structural Plasticity Rule for Generating Better Reservoirs. |
Q114926637 | An Optoelectronic Architecture for Multilayer Learning in a Single Photorefractive Crystal |
Q34719224 | An SMO algorithm for the potential support vector machine |
Q73685554 | An accurate measure of the instantaneous discharge probability, with application to unitary joint-even analysis |
Q48221679 | An adaptive Bayesian pruning for neural networks in a non-stationary environment |
Q33933380 | An algorithm for modifying neurotransmitter release probability based on pre- and postsynaptic spike timing. |
Q80058518 | An algorithm for the detection of faces on the basis of Gabor features and information maximization |
Q52231960 | An alternative perspective on adaptive independent component analysis algorithms |
Q43892737 | An amplitude equation approach to contextual effects in visual cortex |
Q39443719 | An analog memory circuit for spiking silicon neurons |
Q52070198 | An analysis of orientation and ocular dominance patterns in the visual cortex of cats and ferrets. |
Q51920787 | An augmented extended Kalman filter algorithm for complex-valued recurrent neural networks. |
Q52017884 | An autoassociative neural network model of paired-associate learning. |
Q51638921 | An efficient approximation algorithm for finding a maximum clique using Hopfield network learning. |
Q46424819 | An efficient learning procedure for deep Boltzmann machines |
Q51593433 | An estimation of generalized bradley-terry models based on the em algorithm. |
Q48413754 | An extended EM algorithm for joint feature extraction and classification in brain-computer interfaces. |
Q51964613 | An extended analytic expression for the membrane potential distribution of conductance-based synaptic noise. |
Q38548823 | An extension of the receiver operating characteristic curve and AUC-optimal classification |
Q43999998 | An image analysis algorithm for dendritic spines |
Q50309747 | An in Silico, Biomarker-Based Method for the Evaluation of Virtual Neuropsychiatric Drug Effects. |
Q52056964 | An information-based neural approach to constraint satisfaction. |
Q48503903 | An integral upper bound for neural network approximation. |
Q51847475 | An internal model for acquisition and retention of motor learning during arm reaching. |
Q52025309 | An invariance property of predictors in kernel-induced hypothesis spaces. |
Q43407756 | An investigation of the stochastic Hodgkin-Huxley models under noisy rate functions |
Q47660999 | An ongoing subthreshold neuronal state established through dynamic coassembling of cortical cells |
Q49084549 | An optimal feedback control framework for grasping objects with position uncertainty. |
Q52025319 | An optimization approach to design of generalized BSB neural associative memories. |
Q51866414 | An oscillatory Hebbian network model of short-term memory. |
Q48932369 | An oscillatory neural model of multiple object tracking. |
Q48392353 | An upper bound on the minimum number of monomials required to separate dichotomies of {-1, 1}n. |
Q48288566 | Analog VLSI-based modeling of the primate oculomotor system. |
Q39489404 | Analog neural nets with gaussian or other common noise distribution cannot recognize arbitrary regular languages |
Q39475843 | Analog versus digital: extrapolating from electronics to neurobiology |
Q52305063 | Analog versus discrete neural networks. |
Q51912451 | Analysis and design of associative memories based on recurrent neural networks with linear saturation activation functions and time-varying delays. |
Q51099657 | Analysis and design of echo state networks. |
Q43746873 | Analysis and neuronal modeling of the nonlinear characteristics of a local cardiac reflex in the rat. |
Q39016839 | Analysis of Online Composite Mirror Descent Algorithm |
Q98469099 | Analysis of Regression Algorithms with Unbounded Sampling |
Q60486935 | Analysis of Sparse Representation and Blind Source Separation |
Q51940171 | Analysis of cluttered scenes using an elastic matching approach for stereo images. |
Q51796952 | Analysis of complete stability for discrete-time cellular neural networks with piecewise linear output functions. |
Q48512152 | Analysis of cyclic dynamics for networks of linear threshold neurons. |
Q41705415 | Analysis of direction selectivity arising from recurrent cortical interactions |
Q47905087 | Analysis of integrate-and-fire neurons: synchronization of synaptic input and spike output |
Q77676619 | Analysis of oscillations in a reciprocally inhibitory network with synaptic depression |
Q30620761 | Analysis of pointing errors reveals properties of data representations and coordinate transformations within the central nervous system |
Q47851349 | Analysis of spike statistics in neuronal systems with continuous attractors or multiple, discrete attractor States. |
Q48593948 | Analysis of synchronization between two modules of pulse neural networks with excitatory and inhibitory connections. |
Q80645725 | Analysis of the interaction between the dendritic conductance density and activated area in modulating alpha-motoneuron EPSP: statistical computer model |
Q39742774 | Analysis of the stabilized supralinear network |
Q47875452 | Analytic Expressions for Rate and CV of a Type I Neuron Driven by White Gaussian Noise |
Q38939461 | Analytical Calculation of Errors in Time and Value Perception Due to a Subjective Time Accumulator: A Mechanistic Model and the Generation of Weber's Law. |
Q48421831 | Analytical Calculation of Mutual Information between Weakly Coupled Poisson-Spiking Neurons in Models of Dynamically Gated Communication. |
Q36386183 | Analytical Derivation of Nonlinear Spectral Effects and 1/f Scaling Artifact in Signal Processing of Real-World Data |
Q51873081 | Analytical and simulation results for the stochastic spatial Fitzhugh-Nagumo model neuron. |
Q39648263 | Analytical integrate-and-fire neuron models with conductance-based dynamics and realistic postsynaptic potential time course for event-driven simulation strategies. |
Q47850189 | Analytical integrate-and-fire neuron models with conductance-based dynamics for event-driven simulation strategies |
Q52075001 | Analytical model for the effects of learning on spike count distributions. |
Q99569106 | Analyzing and Accelerating the Bottlenecks of Training Deep SNNs with Backpropagation |
Q48826398 | Analyzing functional connectivity using a network likelihood model of ensemble neural spiking activity. |
Q62493991 | Analyzing holistic parsers: implications for robust parsing and systematicity |
Q45097823 | Analyzing neural responses to natural signals: maximally informative dimensions |
Q48751352 | Anatomical constraints on lateral competition in columnar cortical architectures. |
Q52182567 | Antipredictable sequences: harder to predict than random sequences. |
Q96293566 | Any Target Function Exists in a Neighborhood of Any Sufficiently Wide Random Network: A Geometrical Perspective |
Q57157365 | Applications of Recurrent Neural Networks in Environmental Factor Forecasting: A Review |
Q34958946 | Applying the multivariate time-rescaling theorem to neural population models |
Q52184370 | Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms. |
Q48589750 | Approximate emergent synchrony in spatially coupled spiking neurons with discrete interaction. |
Q51801123 | Approximate learning algorithm in Boltzmann machines. |
Q52074460 | Approximate maximum entropy joint feature inference consistent with arbitrary lower-order probability constraints: application to statistical classification |
Q46719715 | Approximate, computationally efficient online learning in Bayesian spiking neurons. |
Q91508572 | Approximating the Architecture of Visual Cortex in a Convolutional Network |
Q78678617 | Approximation bounds for some sparse kernel regression algorithms |
Q44894406 | Approximation by fully complex multilayer perceptrons |
Q44346351 | Arbitrary norm support vector machines |
Q73895772 | Architecture-independent approximation of functions |
Q34311744 | Are loss functions all the same? |
Q48571227 | Are visual cortex maps optimized for coverage? |
Q60564208 | Arithmetic Perceptrons |
Q99569108 | Assessing Goodness-of-Fit in Marked Point Process Models of Neural Population Coding via Time and Rate Rescaling |
Q47850175 | Assessing neuronal coherence with single-unit, multi-unit, and local field potentials |
Q100745212 | Associated Learning: Decomposing End-to-End Backpropagation Based on Autoencoders and Target Propagation |
Q39263139 | Associative memory in a multi-modular network |
Q52008836 | Associative memory with dynamic synapses. |
Q47293599 | Asymmetry of Neuronal Combinatorial Codes Arises from Minimizing Synaptic Weight Change |
Q60241079 | Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel |
Q51909892 | Asymptotic behavior and synchronizability characteristics of a class of recurrent neural networks. |
Q46366909 | Asymptotic behavior of periodic Cohen-Grossberg neural networks with delays. |
Q52070148 | Asymptotic bias in information estimates and the exponential (Bell) polynomials. |
Q52070185 | Asymptotic convergence rate of the EM algorithm for gaussian mixtures |
Q52001914 | Asymptotic properties of the Fisher kernel. |
Q51973742 | Asymptotic theory of information-theoretic experimental design. |
Q93062135 | Asynchronous Event-Based Motion Processing: From Visual Events to Probabilistic Sensory Representation |
Q44318649 | Asynchronous states and the emergence of synchrony in large networks of interacting excitatory and inhibitory neurons |
Q46980960 | Attention as reward-driven optimization of sensory processing. |
Q74409484 | Attention modulation of neural tuning through peak and base rate |
Q51966353 | Attention-gated reinforcement learning of internal representations for classification. |
Q47652223 | Attentional Bias Through Oscillatory Coherence Between Excitatory Activity and Inhibitory Minima |
Q48571180 | Attentional recruitment of inter-areal recurrent networks for selective gain control. |
Q57540266 | Attraction Radii in Binary Hopfield Nets are Hard to Compute |
Q52061630 | Attractive periodic sets in discrete-time recurrent networks (with emphasis on fixed-point stability and bifurcations in two-neuron networks). |
Q52075530 | Attractor dynamics in feedforward neural networks. |
Q52019499 | Attractor networks for shape recognition. |
Q47885548 | Attractor reliability reveals deterministic structure in neuronal spike trains |
Q52067126 | Auto-SOM: recursive parameter estimation for guidance of self-organizing feature maps. |
Q44912328 | Automated algorithms for multiscale morphometry of neuronal dendrites |
Q39739483 | Automated parameter estimation of the Hodgkin-Huxley model using the differential evolution algorithm: application to neuromimetic analog integrated circuits |
Q41862953 | Automatic spike sorting using tuning information |
Q52198967 | Autonomous design of artificial neural networks by Neurex. |
Q48403301 | Autonomous development of vergence control driven by disparity energy neuron populations. |
Q48222637 | Autonomous evolution of topographic regularities in artificial neural networks |
Q91156999 | Autoregressive Point Processes as Latent State-Space Models: A Moment-Closure Approach to Fluctuations and Autocorrelations |
Q39016830 | Avoiding Optimal Mean ℓ2,1-Norm Maximization-Based Robust PCA for Reconstruction. |
Q41732300 | Axon guidance: stretching gradients to the limit |
Q41732308 | Axonal processes and neural plasticity: a reply |
Q47877407 | Background synaptic activity as a switch between dynamical states in a network |
Q114830175 | Backpropagation Applied to Handwritten Zip Code Recognition |
Q48151361 | Backward projections in the cerebral cortex: implications for memory storage |
Q51096068 | Balanced crossmodal excitation and inhibition essential for maximizing multisensory gain. |
Q47289114 | Balancing New against Old Information: The Role of Puzzlement Surprise in Learning |
Q45949500 | Bandit-Based Task Assignment for Heterogeneous Crowdsourcing. |
Q82596315 | Bayes-optimal chemotaxis |
Q49014585 | Bayesian A* tree search with expected O(N) node expansions: applications to road tracking. |
Q114612308 | Bayesian Brains and the Rényi Divergence |
Q40530502 | Bayesian Feature Selection with Strongly Regularizing Priors Maps to the Ising Model |
Q90718182 | Bayesian Filtering with Multiple Internal Models: Toward a Theory of Social Intelligence |
Q47417410 | Bayesian Inference and Online Learning in Poisson Neuronal Networks |
Q56750839 | Bayesian Interpolation |
Q41661685 | Bayesian Model Comparison in Nonlinear BOLD fMRI Hemodynamics |
Q57472005 | Bayesian Modeling of Motion Perception Using Dynamical Stochastic Textures |
Q48751406 | Bayesian active learning of neural firing rate maps with transformed gaussian process priors. |
Q73895752 | Bayesian analysis of mixtures of factor analyzers |
Q28423254 | Bayesian community detection |
Q51637083 | Bayesian computation in recurrent neural circuits. |
Q51997053 | Bayesian estimation of stimulus responses in Poisson spike trains. |
Q47228542 | Bayesian filtering in spiking neural networks: noise, adaptation, and multisensory integration |
Q47187476 | Bayesian framework for least-squares support vector machine classifiers, gaussian processes, and kernel Fisher discriminant analysis |
Q51613849 | Bayesian inference based on stationary Fokker-Planck sampling. |
Q50874757 | Bayesian inference explains perception of unity and ventriloquism aftereffect: identification of common sources of audiovisual stimuli. |
Q42611600 | Bayesian k-Means as a "maximization-expectation" algorithm |
Q40625556 | Bayesian model assessment and comparison using cross-validation predictive densities |
Q42141596 | Bayesian online learning of the hazard rate in change-point problems |
Q51304586 | Bayesian population decoding of motor cortical activity using a Kalman filter. |
Q49018533 | Bayesian sparse partial least squares. |
Q47834700 | Bayesian spiking neurons I: inference |
Q51899611 | Bayesian spiking neurons II: learning. |
Q48557346 | Belief propagation in networks of spiking neurons. |
Q89103007 | Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence |
Q52904406 | Bias/Variance Decompositions for Likelihood-Based Estimators. |
Q48798282 | Bias/variance analyses of mixtures-of-experts architectures. |
Q99569107 | Bicomplex Projection Rule for Complex-Valued Hopfield Neural Networks |
Q51930651 | Bifurcation analysis of Jansen's neural mass model. |
Q51576461 | Bilinear sparse coding for invariant vision. |
Q52310484 | Binary-oscillator networks: bridging a gap between experimental and abstract modeling of neural networks. |
Q56864429 | Binding and Normalization of Binary Sparse Distributed Representations by Context-Dependent Thinning |
Q98469092 | Binless Kernel Machine: Modeling Spike Train Transformation for Cognitive Neural Prostheses |
Q34404404 | Binocular receptive field models, disparity tuning, and characteristic disparity |
Q56532784 | Biologically Plausible Error-Driven Learning Using Local Activation Differences: The Generalized Recirculation Algorithm |
Q64116217 | Biologically Realistic Mean-Field Models of Conductance-Based Networks of Spiking Neurons with Adaptation |
Q48423967 | Biophysiologically plausible implementations of the maximum operation. |
Q38640780 | Blind Nonnegative Source Separation Using Biological Neural Networks. |
Q44049230 | Blind Source Separation and Deconvolution: The Dynamic Component Analysis Algorithm |
Q52177453 | Blind separation of a mixture of uniformly distributed source signals: A novel approach. |
Q44986806 | Blind separation of positive sources by globally convergent gradient search |
Q30539512 | Blind source separation by sparse decomposition in a signal dictionary |
Q30328369 | Blind source separation using temporal predictability. |
Q44534622 | Block clustering based on difference of convex functions (DC) programming and DC algorithms |
Q39058046 | Block-Regularized m × 2 Cross-Validated Estimator of the Generalization Error |
Q45958540 | Blocked 3×2 cross-validated t-test for comparing supervised classification learning algorithms. |
Q52179662 | Boosted mixture of experts: an ensemble learning scheme. |
Q43476731 | Boosting method for local learning in statistical pattern recognition |
Q45967331 | Boosting neural networks. |
Q31913442 | Boosting regression estimators |
Q46488172 | Bootstrapping confidence intervals for clinical input variable effects in a network trained to identify the presence of acute myocardial infarction |
Q52074994 | Bootstrapping neural networks. |
Q51088281 | Boundedness and stability for integrodifferential equations modeling neural field with time delay. |
Q51624398 | Bounding the bias of contrastive divergence learning. |
Q52074441 | Bounds on error expectation for support vector machines. |
Q92441338 | Brain Morphometry Methods for Feature Extraction in Random Subspace Ensemble Neural Network Classification of First-Episode Schizophrenia |
Q57270729 | Brain Reading Using Full Brain Support Vector Machines for Object Recognition: There Is No “Face” Identification Area |
Q48495786 | Breaking Rotational Symmetry in a Self-Organizing Map Model for Orientation Map Development |
Q112561101 | Bridging M/EEG Source Imaging and Independent Component Analysis Frameworks Using Biologically Inspired Sparsity Priors |
Q51645470 | Broken symmetries in a location-invariant word recognition network. |
Q48469596 | Bursting without slow kinetics: a role for a small world? |
Q52038025 | CCCP algorithms to minimize the Bethe and Kikuchi free energies: convergent alternatives to belief propagation. |
Q90701079 | Calculating the Mutual Information between Two Spike Trains |
Q47897962 | Calculation of interspike intervals for integrate-and-fire neurons with poisson distribution of synaptic inputs |
Q90718220 | Can Grid Cell Ensembles Represent Multiple Spaces? |
Q48110578 | Can Hebbian volume learning explain discontinuities in cortical maps? |
Q43691778 | Can spike coordination be differentiated from rate covariation? |
Q34363383 | Canonical correlation analysis: an overview with application to learning methods |
Q47820366 | Capacity of a single spiking neuron channel |
Q47632629 | Capturing Spike Variability in Noisy Izhikevich Neurons Using Point Process Generalized Linear Models |
Q49683023 | Capturing the Dynamical Repertoire of Single Neurons with Generalized Linear Models. |
Q90124184 | Capturing the Forest but Missing the Trees: Microstates Inadequate for Characterizing Shorter-Scale EEG Dynamics |
Q114926524 | Categorical Perception: A Groundwork for Deep Learning |
Q81807756 | Categorization of neural excitability using threshold models |
Q43704267 | Category learning through multimodality sensing |
Q31047553 | Causal Inference on Discrete Data via Estimating Distance Correlations |
Q51096054 | Causal discovery via reproducing kernel Hilbert space embeddings. |
Q45003761 | Causality in linear nongaussian acyclic models in the presence of latent gaussian confounders |
Q47641703 | Cell responsiveness in macaque superior temporal polysensory area measured by temporal discriminants |
Q89758822 | Center Manifold Analysis of Plateau Phenomena Caused by Degeneration of Three-Layer Perceptron |
Q52034464 | Center-crossing recurrent neural networks for the evolution of rhythmic behavior. |
Q51611195 | Change-based inference in attractor nets: linear analysis. |
Q48455721 | Changes in GABAB modulation during a theta cycle may be analogous to the fall of temperature during annealing. |
Q48589800 | Changes of firing rate induced by changes of phase response curve in bifurcation transitions. |
Q48640778 | Changing roles for temporal representation of odorant during the oscillatory response of the olfactory bulb. |
Q50727566 | Chaotic Pattern Alternations Can Reproduce Properties of Dominance Durations in Multistable Perception. |
Q50488191 | Chaotic Resonance in Coupled Inferior Olive Neurons with the Llinás Approach Neuron Model. |
Q48414434 | Chaotic balanced state in a model of cortical circuits. |
Q51792956 | Chaotic exploration and learning of locomotion behaviors. |
Q50854606 | Chaotic frequency scaling in a coupled oscillator model for free rhythmic actions. |
Q84511684 | Characterization of minimum error linear coding with sensory and neural noise |
Q52411208 | Characterization of subthreshold voltage fluctuations in neuronal membranes. |
Q92194243 | Characterizing Brain Connectivity From Human Electrocorticography Recordings With Unobserved Inputs During Epileptic Seizures |
Q36137044 | Characterizing responses of translation-invariant neurons to natural stimuli: maximally informative invariant dimensions |
Q46176189 | Chemosensor-driven artificial antennal lobe transient dynamics enable fast recognition and working memory |
Q41749265 | Choice and value flexibility jointly contribute to the capacity of a subsampled quadratic classifier |
Q91447584 | Circuit Polarity Effect of Cortical Connectivity, Activity, and Memory |
Q52310475 | Circular nodes in neural networks. |
Q51949498 | Class-incremental generalized discriminant analysis. |
Q92730817 | Classification from Triplet Comparison Data |
Q47813588 | Classification of correlated patterns with a configurable analog VLSI neural network of spiking neurons and self-regulating plastic synapses |
Q45966177 | Classification of faces in man and machine. |
Q77323461 | Classification of temporal patterns in dynamic biological networks |
Q47417354 | Clique-Based Neural Associative Memories with Local Coding and Precoding |
Q99569104 | Closed-Loop Deep Learning: Generating Forward Models with Backpropagation |
Q48138994 | Closed-form expressions of some stochastic adapting equations for nonlinear adaptive activation function neurons |
Q52050065 | Clustering based on conditional distributions in an auxiliary space. |
Q81328511 | Clustering based on gaussian processes |
Q52072628 | Clustering irregular shapes using high-order neurons. |
Q36722855 | Clusterless Decoding of Position from Multiunit Activity Using a Marked Point Process Filter |
Q50955491 | Coding accuracy is not fully determined by the neuronal model. |
Q46654380 | Coding of temporally varying signals in networks of spiking neurons with global delayed feedback |
Q45328704 | Coenzyme Q10 benefits symptoms in Gulf War veterans: results of a randomized double-blind study |
Q47831873 | Coexistence of Stochastic Oscillations and Self-Organized Criticality in a Neuronal Network: Sandpile Model Application |
Q46559864 | Cognitive enhancement mediated through postsynaptic actions of norepinephrine on ongoing cortical activity |
Q47866585 | Cognitive map formation through sequence encoding by theta phase precession |
Q33543274 | Collective behavior of networks with linear (VLSI) integrate-and-fire neurons |
Q51624406 | Collective stability of networks of winner-take-all circuits. |
Q48952466 | Combinatorial neural codes from a mathematical coding theory perspective. |
Q52135471 | Combined 5 x 2 cv F test for comparing supervised classification learning algorithms. |
Q51848265 | Combining feature- and correspondence-based methods for visual object recognition. |
Q51985140 | Combining reconstruction and discrimination with class-specific sparse coding. |
Q51939924 | Comment on "Characterization of subthreshold voltage fluctuations in neuronal membranes," by M. Rudolph and A. Destexhe. |
Q50587016 | Comments and Correction on "U-Processes and Preference Learning" (Neural Computation Vol. 26, pp. 2896-2924, 2014). |
Q51636604 | Comments on "a parallel mixture of SVMs for very large scale problems". |
Q51665654 | Comparing classification methods for longitudinal fMRI studies. |
Q60433906 | Comparison of Different Generalizations of Clustering Coefficient and Local Efficiency for Weighted Undirected Graphs |
Q90425753 | Comparison of Different Spike Train Synchrony Measures Regarding Their Robustness to Erroneous Data from Bicuculline-Induced Epileptiform Activity |
Q51645888 | Comparison of SOM point densities based on different criteria. |
Q47817714 | Comparison of model selection for regression |
Q52210809 | Compensatory mechanisms in an attractor neural network model of schizophrenia. |
Q51900196 | Competition between synaptic depression and facilitation in attractor neural networks. |
Q48357144 | Competition for neurotrophic factors: mathematical analysis. |
Q48564152 | Competition through selective inhibitory synchrony. |
Q50582276 | Competitive STDP Learning of Overlapping Spatial Patterns. |
Q47812987 | Competitive STDP-based spike pattern learning |
Q51700555 | Competitive layer model of discrete-time recurrent neural networks with LT neurons. |
Q49018554 | Complete classification of the macroscopic behavior of a heterogeneous network of theta neurons. |
Q51866421 | Complete stability in multistable delayed neural networks. |
Q50614724 | Complex Neural Network Models for Time-Varying Drazin Inverse. |
Q47906089 | Complex response to periodic inhibition in simple and detailed neuronal models |
Q52182570 | Complexity issues in natural gradient descent method for training multilayer perceptrons. |
Q43545954 | Complexity pursuit: separating interesting components from time series |
Q33193418 | Computation in a Single Neuron: Hodgkin and Huxley Revisited |
Q47320335 | Computation of madalines' sensitivity to input and weight perturbations |
Q49090992 | Computation of the phase response curve: a direct numerical approach. |
Q51616559 | Computation with spikes in a winner-take-all network. |
Q51496263 | Computational advantages of reverberating loops for sensorimotor learning. |
Q52034460 | Computational capacity of an odorant discriminator: the linear separability of curves. |
Q52056968 | Computational design and nonlinear dynamics of a recurrent network model of the primary visual cortex. |
Q41757887 | Computational models of neuromodulation |
Q48765922 | Computational predictions on the receptive fields and organization of V2 for shape processing. |
Q47838804 | Computational properties of networks of synchronous groups of spiking neurons |
Q48434863 | Computational studies of lateralization of phoneme sequence generation. |
Q46170637 | Computer modeling of mild axonal injury: implications for axonal signal transmission |
Q46322848 | Computing and stability in cortical networks |
Q43502999 | Computing confidence intervals for point process models |
Q50935915 | Computing sparse representations of multidimensional signals using Kronecker bases. |
Q77052641 | Computing the optimally fitted spike train for a synapse |
Q90316124 | Computing with Spikes: The Advantage of Fine-Grained Timing |
Q48523054 | Computing with a canonical neural circuits model with pool normalization and modulating feedback. |
Q48946611 | Computing with continuous attractors: stability and online aspects. |
Q51638362 | Computing with populations of monotonically tuned neurons. |
Q48288609 | Computing with self-excitatory cliques: A model and an application to hyperacuity-scale computation in visual cortex. |
Q47913575 | Computing with the leaky integrate-and-fire neuron: logarithmic computation and multiplication |
Q52204527 | Concentration tuning mediated by spare receptor capacity in olfactory sensory neurons: A theoretical study. |
Q48005899 | Conditional association |
Q46429423 | Conditional density estimation with dimensionality reduction via squared-loss conditional entropy minimization |
Q48315680 | Conditional mixture model for correlated neuronal spikes. |
Q51774682 | Conditional probability-based significance tests for sequential patterns in multineuronal spike trains. |
Q103742069 | Conductance-Based Adaptive Exponential Integrate-and-Fire Model |
Q47913195 | Conductance-based integrate-and-fire models |
Q89078068 | Confounder Detection in High-Dimensional Linear Models Using First Moments of Spectral Measures |
Q33755323 | Conjugate mixture models for clustering multimodal data |
Q28287872 | Connecting cortical and behavioral dynamics: bimanual coordination |
Q51950469 | Connection and coordination: the interplay between architecture and dynamics in evolved model pattern generators. |
Q44527332 | Connection topology selection in central pattern generators by maximizing the gain of information |
Q51764904 | Connectivity, dynamics, and memory in reservoir computing with binary and analog neurons. |
Q51629445 | Consistency of pseudolikelihood estimation of fully visible Boltzmann machines. |
Q38640766 | Constrained ERM Learning of Canonical Correlation Analysis: A Least Squares Perspective |
Q95500134 | Constrained Nets for Graph Matching and Other Quadratic Assignment Problems |
Q47292564 | Constrained optimization for neural map formation: a unifying framework for weight growth and normalization |
Q48021698 | Constrained subspace ICA based on mutual information optimization directly |
Q45957052 | Constraint on the number of synaptic inputs to a visual cortical neuron controls receptive field formation. |
Q46686452 | Constructive incremental learning from only local information |
Q51902066 | Context learning in the rodent hippocampus. |
Q48199647 | Continuation-based numerical detection of after-depolarization and spike-adding thresholds. |
Q39391752 | Continuous Online Sequence Learning with an Unsupervised Neural Network Model. |
Q46979957 | Continuous closed-loop decoder adaptation with a recursive maximum likelihood algorithm allows for rapid performance acquisition in brain-machine interfaces. |
Q51639700 | Continuous-time symmetric Hopfield nets are computationally universal. |
Q95500210 | Contrastive Learning and Neural Oscillations |
Q46730202 | Contrastive divergence in gaussian diffusions |
Q47592572 | Controllability Analysis of the Neural Mass Model with Dynamic Parameters |
Q91156996 | Controlling Complexity of Cerebral Cortex Simulations-I: CxSystem, a Flexible Cortical Simulation Framework |
Q93062158 | Controlling Complexity of Cerebral Cortex Simulations-II: Streamlined Microcircuits |
Q114926623 | Convergence Properties of Learning in ART1 |
Q51682049 | Convergence analysis of three classes of split-complex gradient algorithms for complex-valued recurrent neural networks. |
Q51700563 | Convergence and stability of quantized Hopfield networks operating in a fully parallel mode. |
Q47388070 | Convergence of the IRWLS Procedure to the Support Vector Machine Solution |
Q52208416 | Convergence properties of the softassign quadratic assignment algorithm. |
Q52056958 | Convergent decomposition techniques for training RBF neural networks. |
Q91157005 | Convex Coupled Matrix and Tensor Completion |
Q114066576 | Convolution-Based Model-Solving Method for Three-Dimensional, Unsteady, Partial Differential Equations |
Q45963341 | Convolutional networks can learn to generate affinity graphs for image segmentation. |
Q34092439 | Correctness of belief propagation in Gaussian graphical models of arbitrary topology |
Q52082918 | Correctness of local probability in graphical models with loops. |
Q45100436 | Correlated firing improves stimulus discrimination in a retinal model |
Q47860561 | Correlated firing in a feedforward network with Mexican-hat-type connectivity |
Q36501575 | Correlation and independence in the neural code |
Q48503956 | Correlation between eigenvalue spectra and dynamics of neural networks. |
Q47891586 | Correlation between uncoupled conductance-based integrate-and-fire neurons due to common and synchronous presynaptic firing. |
Q40225674 | Correlational Neural Networks |
Q51887690 | Correlations and population dynamics in cortical networks. |
Q73002807 | Correlations without synchrony |
Q47808842 | Cortical Spike Synchrony as a Measure of Input Familiarity |
Q47813596 | Cortical circuitry implementing graphical models |
Q49161552 | Cortical potential distributions and information processing. |
Q41136304 | Cortical spatiotemporal dimensionality reduction for visual grouping |
Q57939191 | CosMIC: A Consistent Metric for Spike Inference from Calcium Imaging |
Q52939782 | Cosine tuning minimizes motor errors. |
Q39265371 | Coupling an aVLSI neuromorphic vision chip to a neurotrophic model of synaptic plasticity: the development of topography |
Q71679660 | Coupling the neural and physical dynamics in rhythmic movements |
Q52043474 | Covariance learning of correlated patterns in competitive networks. |
Q39651746 | Credible Intervals for Precision and Recall Based on a K-Fold Cross-Validated Beta Distribution |
Q40203305 | Critical analysis of dimension reduction by a moment closure method in a population density approach to neural network modeling |
Q47561928 | Cross-Domain Metric and Multiple Kernel Learning Based on Information Theory |
Q91447592 | Cross-Entropy Pruning for Compressing Convolutional Neural Networks |
Q48429243 | Cross-correlations in high-conductance states of a model cortical network. |
Q51512095 | Cross-talk induces bifurcations in nonlinear models of synaptic plasticity. |
Q33504793 | Current source density reconstruction from incomplete data |
Q47226525 | DC Algorithm for Extended Robust Support Vector Machine |
Q52074443 | DEA: An architecture for goal planning and classification. |
Q30993362 | Data-robust tight lower bounds to the information carried by spike times of a neuronal population. |
Q92376176 | Deciphering the Brain's Codes |
Q48315713 | Decision confidence and uncertainty in diffusion models with partially correlated neuronal integrators. |
Q46298763 | Decision-theoretic saliency: computational principles, biological plausibility, and implications for neurophysiology and psychophysics |
Q92118195 | Decoding Hidden Cognitive States From Behavior and Physiology Using a Bayesian Approach |
Q93062166 | Decoding Movements from Cortical Ensemble Activity Using a Long Short-Term Memory Recurrent Network |
Q51764912 | Decoding Poisson spike trains by Gaussian filtering. |
Q51990944 | Decoding a temporal population code. |
Q33504790 | Decoding movement trajectories through a T-maze using point process filters applied to place field data from rat hippocampal region CA1. |
Q93271625 | Decoding of Neural Data Using Cohomological Feature Extraction |
Q60241072 | Decomposition Methods for Linear Support Vector Machines |
Q91588968 | Deconstructing Odorant Identity via Primacy in Dual Networks |
Q33801640 | Decorrelation by recurrent inhibition in heterogeneous neural circuits |
Q48782924 | Decorrelation of spiking variability and improved information transfer through feedforward divisive normalization. |
Q91588978 | Decreasing the Size of the Restricted Boltzmann Machine |
Q38733939 | Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review. |
Q48008169 | Deep Learning with Dynamic Spiking Neurons and Fixed Feedback Weights |
Q50436163 | Deep Restricted Kernel Machines Using Conjugate Feature Duality. |
Q51556538 | Deep Semisupervised Zero-Shot Learning with Maximum Mean Discrepancy. |
Q42314211 | Deep, big, simple neural nets for handwritten digit recognition |
Q44340269 | Deep, narrow sigmoid belief networks are universal approximators |
Q103742063 | Deeply Felt Affect: The Emergence of Valence in Deep Active Inference |
Q45141093 | Deficient GABAergic gliotransmission may cause broader sensory tuning in schizophrenia |
Q42675142 | Deformation Theory of Dynamic Link Matching |
Q57066954 | Degree of Approximation Results for Feedforward Networks Approximating Unknown Mappings and Their Derivatives |
Q38640773 | Delay Differential Analysis of Seizures in Multichannel Electrocorticography Data |
Q30844354 | Delay differential analysis of electroencephalographic data |
Q30416009 | Delay differential analysis of time series |
Q47228553 | Delays and oscillations in networks of spiking neurons: a two-timescale analysis |
Q40690392 | Democratic integration: self-organized integration of adaptive cues |
Q47337804 | Dendrites Enable a Robust Mechanism for Neuronal Stimulus Selectivity |
Q52052914 | Dendritic subunits determined by dendritic morphology. |
Q57472004 | Dense Associative Memory Is Robust to Adversarial Inputs |
Q52182562 | Density estimation by mixture models with smoothing priors |
Q44830143 | Density-difference estimation |
Q48281447 | Density-weighted Nyström method for computing large kernel eigensystems. |
Q57836735 | Dependence of Neuronal Correlations on Filter Characteristics and Marginal Spike Train Statistics |
Q48944333 | Dependency reduction with divisive normalization: justification and effectiveness. |
Q50217611 | Derivation of Human Chromatic Discrimination Ability from an Information-Theoretical Notion of Distance in Color Space. |
Q52046059 | Derivation of the visual contrast response function by maximizing information rate. |
Q51782240 | Derivatives of logarithmic stationary distributions for policy gradient reinforcement learning. |
Q78678612 | Descartes' rule of signs for radial basis function neural networks |
Q43534362 | Design and analysis of closed-loop decoder adaptation algorithms for brain-machine interfaces. |
Q46101551 | Design of charge-balanced time-optimal stimuli for spiking neuron oscillators |
Q51624386 | Design of continuous attractor networks with monotonic tuning using a symmetry principle. |
Q47285937 | Design strategies for weight matrices of echo state networks |
Q88133666 | Designing Patient-Specific Optimal Neurostimulation Patterns for Seizure Suppression |
Q33782412 | Detecting and estimating signals in noisy cable structure, I: neuronal noise sources |
Q33782417 | Detecting and estimating signals in noisy cable structures, II: information theoretical analysis |
Q34140618 | Detecting and estimating signals over noisy and unreliable synapses: information-theoretic analysis. |
Q36856122 | Detecting synchronous cell assemblies with limited data and overlapping assemblies |
Q43677150 | Detection of hidden structures in nonstationary spike trains |
Q51579015 | Determination and the no-free-lunch paradox. |
Q46873391 | Determination of firing times for the stochastic Fitzhugh-Nagumo neuronal model |
Q48859794 | Determination of response latency and its application to normalization of cross-correlation measures. |
Q47822979 | Determination of the Lowest-Energy States for the Model Distribution of Trained Restricted Boltzmann Machines Using a 1000 Qubit D-Wave 2X Quantum Computer. |
Q43806158 | Determining Burst Firing Time Distributions from Multiple Spike Trains. |
Q114926659 | Deterministic Boltzmann Learning Performs Steepest Descent in Weight-Space |
Q47977676 | Deterministic neural classification |
Q47831857 | Dethroning the Fano Factor: A Flexible, Model-Based Approach to Partitioning Neural Variability. |
Q52355278 | Development of oriented ocular dominance bands as a consequence of areal geometry. |
Q52022331 | Developmental constraints aid the acquisition of binocular disparity sensitivities. |
Q50928777 | Deviation from Weber's law in the non-Pacinian I tactile channel: a psychophysical and simulation study of intensity discrimination. |
Q56553345 | Diagrammatic Derivation of Gradient Algorithms for Neural Networks |
Q42422516 | Dictionary learning algorithms for sparse representation |
Q48139026 | Differences in spiking patterns among cortical neurons |
Q80499905 | Different predictions by the minimum variance and minimum torque-change models on the skewness of movement velocity profiles |
Q38640777 | Differential Covariance: A New Class of Methods to Estimate Sparse Connectivity from Neural Recordings |
Q99569111 | Differential Covariance: A New Method to Estimate Functional Connectivity in fMRI |
Q114066575 | Differential Geometry Methods for Constructing Manifold-Targeted Recurrent Neural Networks |
Q73438432 | Differential filtering of two presynaptic depression mechanisms |
Q82085851 | Differential log likelihood for evaluating and learning gaussian mixtures |
Q48930345 | Difficulty of singularity in population coding. |
Q114926551 | Diffusion Approximations for the Constant Learning Rate Backpropagation Algorithm and Resistance to Local Minima |
Q48782954 | Diffusive feedback influences on hierarchical information processing. |
Q51575118 | Diffusive information accumulation by minimal recurrent neural models of decision making. |
Q51925639 | Dimension selection for feature selection and dimension reduction with principal and independent component analysis. |
Q34314051 | Dimensionality of object representations in monkey inferotemporal cortex |
Q39621250 | Dimensionality-Dependent Generalization Bounds for k-Dimensional Coding Schemes |
Q59446695 | Diplomats' Mystery Illness and Pulsed Radiofrequency/Microwave Radiation |
Q39798964 | Direct Density Derivative Estimation |
Q38733935 | Direct Estimation of the Derivative of Quadratic Mutual Information with Application in Supervised Dimension Reduction |
Q44472386 | Direct estimation of inhomogeneous Markov interval models of spike trains. |
Q43483663 | Direct learning of sparse changes in Markov networks by density ratio estimation |
Q49115497 | Directional filling-in. |
Q73002802 | Disambiguating different covariation types |
Q45033858 | Disambiguating visual motion through contextual feedback modulation |
Q33543280 | Discontinuities in recurrent neural networks |
Q51096057 | Discovering functional neuronal connectivity from serial patterns in spike train data. |
Q47668774 | Discrete Sparse Coding |
Q48455779 | Discrete states of synaptic strength in a stochastic model of spike-timing-dependent plasticity. |
Q34101633 | Discrete time rescaling theorem: determining goodness of fit for discrete time statistical models of neural spiking |
Q41895767 | Discrete- and continuous-time probabilistic models and algorithms for inferring neuronal UP and DOWN states |
Q33543285 | Discriminant component pruning. Regularization and interpretation of multi-layered back-propagation networks |
Q52025322 | Discriminant pattern recognition using transformation-invariant neurons. |
Q47833295 | Discrimination with Spike Times and ISI Distributions |
Q50731463 | Discriminative learning of propagation and spatial pattern for motor imagery EEG analysis. |
Q114926509 | Disentangled Representation Learning and Generation With Manifold Optimization |
Q50692245 | Dissociable forms of repetition priming: a computational model. |
Q43867411 | Distance learning in discriminative vector quantization |
Q48249005 | Distinguishing causal interactions in neural populations |
Q47777495 | Distinguishing the causes of firing with the membrane potential slope. |
Q47838035 | Distortion of neural signals by spike coding |
Q52590057 | Distributed Newton Methods for Deep Neural Networks. |
Q41973130 | Distributed control of uncertain systems using superpositions of linear operators |
Q44789879 | Divergence function, duality, and convex analysis |
Q51605721 | Divergence-based vector quantization. |
Q73357943 | Do simple cells in primary visual cortex form a tight frame? |
Q49028072 | Does corticothalamic feedback control cortical velocity tuning? |
Q47796553 | Does high firing irregularity enhance learning? |
Q47821712 | Dopamine ramps are a consequence of reward prediction errors. |
Q48093363 | Dopamine, Inference, and Uncertainty |
Q43114925 | Double-gabor filters are independent components of small translation-invariant image patches |
Q79085342 | Doubly Distributional Population Codes: Simultaneous Representation of Uncertainty and Multiplicity |
Q37284332 | Downstream Effect of Ramping Neuronal Activity through Synapses with Short-Term Plasticity |
Q93271635 | Dual Neural Network Method for Solving Multiple Definite Integrals |
Q48713959 | Dual information representation with stable firing rates and chaotic spatiotemporal spike patterns in a neural network model. |
Q114926543 | Duality Between Learning Machines: A Bridge Between Supervised and Unsupervised Learning |
Q52022334 | Duality of rate coding and temporal coding in multilayered feedforward networks. |
Q90701106 | Dynamic Computational Model of the Human Spinal Cord Connectome |
Q90124171 | Dynamic Integrative Synaptic Plasticity Explains the Spacing Effect in the Transition from Short- to Long-Term Memory |
Q39621257 | Dynamic Multiscale Modes of Resting State Brain Activity Detected by Entropy Field Decomposition |
Q49579907 | Dynamic Neural Turing Machine with Continuous and Discrete Addressing Schemes. |
Q48607002 | Dynamic Signal Tracking in a Simple V1 Spiking Model. |
Q48556137 | Dynamic analyses of information encoding in neural ensembles. |
Q45959059 | Dynamic analysis of naive adaptive brain-machine interfaces. |
Q48896970 | Dynamic analysis of neural encoding by point process adaptive filtering. |
Q48511060 | Dynamic approximation of spatiotemporal receptive fields in nonlinear neural field models. |
Q42876495 | Dynamic gain changes during attentional modulation |
Q48706602 | Dynamic model of visual recognition predicts neural response properties in the visual cortex. |
Q46270498 | Dynamic moment analysis of the extracellular electric field of a biologically realistic spiking neuron |
Q43897792 | Dynamic state and parameter estimation applied to neuromorphic systems. |
Q47905071 | Dynamic stochastic synapses as computational units |
Q47874804 | Dynamical Consequences of Fast-Rising, Slow-Decaying Synapses in Neuronal Networks |
Q41952923 | Dynamical analysis of Bayesian inference models for the Eriksen task |
Q51971022 | Dynamical analysis of continuous higher-order hopfield networks for combinatorial optimization. |
Q46845998 | Dynamical constraints on using precise spike timing to compute in recurrent cortical networks |
Q43211699 | Dynamical mean field model of a neural-glial mass |
Q47896422 | Dynamical mechanism for sharp orientation tuning in an integrate-and-fire model of a cortical hypercolumn |
Q43946332 | Dynamical movement primitives: learning attractor models for motor behaviors |
Q49018469 | Dynamical regimes in neural network models of matching behavior. |
Q39576673 | Dynamical stability conditions for recurrent neural networks with unsaturating piecewise linear transfer functions |
Q48681571 | Dynamical synapses enhance neural information processing: gracefulness, accuracy, and mobility. |
Q48446270 | Dynamical working memory and timed responses: the role of reverberating loops in the olivo-cerebellar system. |
Q92376159 | Dynamics and Formation of Self-Organizing Maps |
Q48893484 | Dynamics and computation of continuous attractors. |
Q51034213 | Dynamics and reliability of bistable neurons driven with time-dependent stimuli. |
Q48429252 | Dynamics and robustness of familiarity memory. |
Q51935222 | Dynamics and topographic organization of recursive self-organizing maps. |
Q48003393 | Dynamics of Learning in MLP: Natural Gradient and Singularity Revisited |
Q44663285 | Dynamics of deterministic and stochastic paired excitatory-inhibitory delayed feedback |
Q52079736 | Dynamics of encoding in neuron populations: some general mathematical features. |
Q43994266 | Dynamics of feature categorization |
Q46836601 | Dynamics of gamma bursts in local field potentials |
Q51899593 | Dynamics of learning near singularities in layered networks. |
Q48434884 | Dynamics of membrane excitability determine interspike interval variability: a link between spike generation mechanisms and cortical spike train statistics. |
Q51219746 | Dynamics of multiple-choice decision making. |
Q51919199 | Dynamics of nonlinear feedback control. |
Q52108264 | Dynamics of spiking neurons with electrical coupling. |
Q47901348 | Dynamics of strongly-coupled spiking neurons |
Q47884550 | Dynamics of the firing probability of noisy integrate-and-fire neurons |
Q51219755 | EEG data space adaptation to reduce intersession nonstationarity in brain-computer interface. |
Q48371640 | EEG-fMRI fusion of paradigm-free activity using Kalman filtering. |
Q47643941 | Echo state property linked to an input: exploring a fundamental characteristic of recurrent neural networks |
Q51966299 | Edgeworth approximation of multivariate differential entropy. |
Q51968397 | Edgeworth-expanded gaussian mixture density modeling. |
Q92237572 | Effect of Depth and Width on Local Minima in Deep Learning |
Q47623228 | Effect of Morphologic Features of Neurons on the Extracellular Electric Potential: A Simulation Study Using Cable Theory and Electro-Quasi-Static Equations |
Q41654204 | Effect of Phase Response Curve Shape and Synaptic Driving Force on Synchronization of Coupled Neuronal Oscillators |
Q39948299 | Effect of Reference Scheme on Power and Phase of the Local Field Potential |
Q99569113 | Effect of Top-Down Connections in Hierarchical Sparse Coding |
Q52200954 | Effect of binocular cortical misalignment on ocular dominance and orientation selectivity. |
Q52274559 | Effect of delay on the boundary of the basin of attraction in a self-excited single graded-response neuron. |
Q42660105 | Effect of phase response curve skewness on synchronization of electrically coupled neuronal oscillators |
Q92194279 | Effective Dimensionality Reduction for Visualizing Neural Dynamics by Laplacian Eigenmaps |
Q48948607 | Effective neuronal learning with ineffective Hebbian learning rules. |
Q48353678 | Effects of Small-World Rewiring Probability and Noisy Synaptic Conductivity on Slow Waves: Cortical Network. |
Q48647644 | Effects of fast presynaptic noise in attractor neural networks. |
Q83166524 | Effects of multiplicative power law neural noise in visual information processing |
Q81599037 | Effects of noisy drive on rhythms in networks of excitatory and inhibitory neurons |
Q52302840 | Effects of nonlinear synapses on the performance of multilayer neural networks. |
Q52082907 | Effects of spike timing on winner-take-all competition in model cortical circuits. |
Q41996627 | Effects of synaptic synchrony on the neuronal input-output relationship |
Q100745210 | Efficient Actor-Critic Reinforcement Learning with Embodiment of Muscle Tone for Posture Stabilization of the Human Arm |
Q50547926 | Efficient Associative Computation with Discrete Synapses. |
Q38255516 | Efficient Markov chain Monte Carlo methods for decoding neural spike trains |
Q50567183 | Efficient Neural Codes That Minimize Lp Reconstruction Error. |
Q39802817 | Efficient Nonnegative Matrix Factorization by DC Programming and DCA. |
Q94445427 | Efficient Position Decoding Methods Based on Fluorescence Calcium Imaging in the Mouse Hippocampus |
Q92376172 | Efficient Training of Artificial Neural Networks for Autonomous Navigation |
Q52187106 | Efficient adaptive learning for classification tasks with binary units. |
Q51512110 | Efficient blind dereverberation and echo cancellation based on independent component analysis for actual acoustic signals. |
Q52075521 | Efficient block training of multilayer perceptrons. |
Q50978329 | Efficient calculation of the Gauss-Newton approximation of the Hessian matrix in neural networks. |
Q51983588 | Efficient coding of time-relative structure using spikes. |
Q51626930 | Efficient computation and model selection for the support vector regression. |
Q51627149 | Efficient computation based on stochastic spikes. |
Q48315692 | Efficient continuous-time asymmetric Hopfield networks for memory retrieval. |
Q47897295 | Efficient event-driven simulation of large networks of spiking neurons and dynamical synapses |
Q52022340 | Efficient greedy learning of gaussian mixture models. |
Q48371649 | Efficient learning and feature selection in high-dimensional regression. |
Q47904761 | Efficient sample reuse in policy gradients with parameter-based exploration |
Q42247118 | Efficient sensory encoding and Bayesian inference with heterogeneous neural populations |
Q45964963 | Efficient tracking of the dominant eigenspace of a normalized kernel matrix. |
Q44673600 | Efficient training of convolutional deep belief networks in the frequency domain for application to high-resolution 2D and 3D images |
Q47813572 | Electrical coupling promotes fidelity of responses in the networks of model neurons |
Q38823497 | Electroencephalographic Motor Imagery Brain Connectivity Analysis for BCI: A Review |
Q51905507 | Elman backpropagation as reinforcement for simple recurrent networks. |
Q114926574 | Emergence of Position-Independent Detectors of Sense of Rotation and Dilation with Hebbian Learning: An Analysis |
Q52021099 | Emergence of memory-driven command neurons in evolved artificial agents. |
Q43882324 | Emergence of optimal decoding of population codes through STDP. |
Q52166150 | Emergence of phase- and shift-invariant features by decomposition of natural images into independent feature subspaces. |
Q52235877 | Employing the zeta-transform to optimize the calculation of the synaptic conductance of NMDA and other synaptic channels in network simulations. |
Q46186399 | Encoding Time in Feedforward Trajectories of a Recurrent Neural Network Model |
Q51889255 | Encoding and decoding spikes for dynamic stimuli. |
Q44829448 | Encoding binary neural codes in networks of threshold-linear neurons |
Q46241038 | Encoding through patterns: regression tree-based neuronal population models |
Q40958872 | Encoding with bursting, subthreshold oscillations, and noise in mammalian cold receptors |
Q53669868 | Energy Model of Neuron Activation. |
Q47751171 | Energy complexity of recurrent neural networks |
Q30469405 | Energy efficient neural codes |
Q36111591 | Energy-Efficient Neuromorphic Classifiers |
Q52957494 | Energy-efficient coding with discrete stochastic events. |
Q52305056 | Engineering multiversion neural-net systems. |
Q52128248 | Enhanced 3D shape recovery using the neural-based hybrid reflectance model. |
Q103742093 | Enhanced Equivalence Projective Simulation: A Framework for Modeling Formation of Stimulus Equivalence Classes |
Q103742099 | Enhanced Signal Detection by Adaptive Decorrelation of Interspike Intervals |
Q50775850 | Enhanced gradient for training restricted Boltzmann machines. |
Q50874764 | Enhanced sound perception by widespread-onset neuronal responses in auditory cortex. |
Q51615669 | Enhanced stimulus encoding capabilities with spectral selectivity in inhibitory circuits by STDP. |
Q80058514 | Enhancement of information transmission efficiency by synaptic failures |
Q31027638 | Enhancing density-based data reduction using entropy |
Q43429954 | Entropy estimation in Turing's perspective |
Q51920785 | Equilibria of iterative softmax and critical temperatures for intermittent search in self-organizing neural networks. |
Q90425735 | Equivalence Projective Simulation as a Framework for Modeling Formation of Stimulus Equivalence Classes |
Q90701059 | Equivalence of Equilibrium Propagation and Recurrent Backpropagation |
Q41732305 | Equivalence of a sprouting-and-retraction model and correlation-based plasticity models of neural development |
Q48386322 | Equivalence of backpropagation and contrastive Hebbian learning in a layered network. |
Q47817704 | Ergodicity of spike trains: when does trial averaging make sense? |
Q61635093 | Errata to “Bayesian Community Detection” (Neural Computation, Sept. 2012, Vol. 24, No. 9:2434–2456) |
Q95388232 | Erratum |
Q87646463 | Erratum to "A Note on Divergences" |
Q45087447 | Error analysis of coefficient-based regularized algorithm for density-level detection |
Q31048945 | Error entropy in classification problems: a univariate data analysis. |
Q91588944 | Estimating Scale-Invariant Future in Continuous Time |
Q47831826 | Estimating a Separably Markov Random Field from Binary Observations |
Q34205426 | Estimating a state-space model from point process observations |
Q51711240 | Estimating a state-space model from point process observations: a note on convergence. |
Q46052003 | Estimating entropy rates with Bayesian confidence intervals. |
Q52074439 | Estimating functions of independent component analysis for temporally correlated signals. |
Q51913983 | Estimating information rates with confidence intervals in neural spike trains. |
Q48687039 | Estimating instantaneous irregularity of neuronal firing. |
Q41906572 | Estimating parameters of generalized integrate-and-fire neurons from the maximum likelihood of spike trains. |
Q80108693 | Estimating spiking irregularities under changing environments |
Q39678963 | Estimating the entropy rate of spike trains via Lempel-Ziv complexity |
Q51514596 | Estimating the posterior probabilities using the k-nearest neighbor rule. |
Q28204995 | Estimating the support of a high-dimensional distribution |
Q51999934 | Estimating the temporal interval entropy of neuronal discharge. |
Q46499951 | Estimation and marginalization using the Kikuchi approximation methods |
Q43807503 | Estimation of positive semidefinite correlation matrices by using convex quadratic semidefinite programming |
Q44586547 | Estimation of sparse nonnegative sources from noisy overcomplete mixtures using MAP. |
Q48897677 | Estimation of time-dependent input from neuronal membrane potential. |
Q45931006 | Evaluating auditory performance limits: II. One-parameter discrimination with random-level variation. |
Q50490185 | Evaluating auditory performance limits: i. one-parameter discrimination using a computational model for the auditory nerve. |
Q92730825 | Evaluating the Potential Gain of Auditory and Audiovisual Speech-Predictive Coding Using Deep Learning |
Q84112383 | Evaluation of trajectory planning models for arm-reaching movements based on energy cost |
Q59899800 | Event-Driven Simulation of Spiking Neurons with Stochastic Dynamics |
Q40277647 | Event-driven simulation scheme for spiking neural networks using lookup tables to characterize neuronal dynamics. |
Q47835692 | Event-driven simulations of nonlinear integrate-and-fire neurons |
Q90718207 | Every Local Minimum Value Is the Global Minimum Value of Induced Model in Nonconvex Machine Learning |
Q47918692 | Evidence Accumulation and Change Rate Inference in Dynamic Environments |
Q89078058 | Evidence of Rentian Scaling of Functional Modules in Diverse Biological Networks |
Q52143714 | Evolution of cooperative problem solving in an artificial economy |
Q52224802 | Evolution of time coding systems. |
Q31160683 | Evolving Network Model That Almost Regenerates Epileptic Data |
Q47774658 | Exact event-driven implementation for recurrent networks of stochastic perfect integrate-and-fire neurons |
Q48230532 | Exact inferences in a neural implementation of a hidden Markov model |
Q47838044 | Exact simulation of integrate-and-fire models with exponential currents |
Q47851214 | Exact simulation of integrate-and-fire models with synaptic conductances |
Q80499911 | Exact solution for the optimal neuronal layout problem |
Q41873672 | Exact solutions for rate and synchrony in recurrent networks of coincidence detectors |
Q47846164 | Exact subthreshold integration with continuous spike times in discrete-time neural network simulations |
Q48930670 | Excessive noise injection training of neural networks for markerless tracking in obscured and segmented environments. |
Q114926631 | Exhaustive Learning |
Q33975423 | Expanding NEURON's repertoire of mechanisms with NMODL. |
Q51615683 | Expectation propagation with factorizing distributions: a Gaussian approximation and performance results for simple models. |
Q48503925 | Experience-induced neural circuits that achieve high capacity. |
Q51940163 | Experiments with AdaBoost.RT, an improved boosting scheme for regression. |
Q86759662 | Exploitation of pairwise class distances for ordinal classification |
Q50583808 | Exponential Stability of Almost Periodic Solutions for Memristor-Based Neural Networks with Distributed Leakage Delays. |
Q52067125 | Exponential convergence of delayed dynamical systems. |
Q52169130 | Exponential or polynomial learning Curves? - case-based studies |
Q48421840 | Exponentially Long Orbits in Hopfield Neural Networks. |
Q52185416 | Extended Kalman Filter-Based Pruning Method for Recurrent Neural Networks. |
Q45956645 | Extended robust support vector machine based on financial risk minimization. |
Q46768597 | Extending cable theory to heterogeneous dendrites |
Q35984299 | Extracting Low-Dimensional Latent Structure from Time Series in the Presence of Delays |
Q48158870 | Extracting number-selective responses from coherent oscillations in a computer model |
Q47907130 | Extracting oscillations. Neuronal coincidence detection with noisy periodic spike input |
Q52197438 | Extracting rules from neural networks by pruning and hidden-unit splitting. |
Q46531526 | Extracting state transition dynamics from multiple spike trains using hidden Markov models with correlated poisson distribution |
Q50610929 | Extraction of Synaptic Input Properties in Vivo. |
Q52130709 | Extraction of specific signals with temporal structure. |
Q95500151 | FIR and IIR Synapses, a New Neural Network Architecture for Time Series Modeling |
Q91960290 | Face Representations via Tensorfaces of Various Complexities |
Q52642562 | Facet Annotation by Extending CNN with a Matching Strategy. |
Q45966181 | Facial attractiveness: beauty and the machine. |
Q42464409 | Facilitation of neuronal responses by intrinsic default mode network activity |
Q52192469 | Factor analysis using delta-rule wake-sleep learning. |
Q48460988 | Factorial hidden Markov models and the generalized backfitting algorithm. |
Q51993663 | Failure of motor learning for large initial errors. |
Q31096738 | Fair attribution of functional contribution in artificial and biological networks |
Q62746352 | Faithful Representation of Separable Distributions |
Q42181323 | Faithful representation of stimuli with a population of integrate-and-fire neurons |
Q38883489 | Fast Estimation of Approximate Matrix Ranks Using Spectral Densities |
Q56019358 | Fast Exact Multiplication by the Hessian |
Q114926653 | Fast Learning in Networks of Locally-Tuned Processing Units |
Q51966350 | Fast access to concepts in concept lattices via bidirectional associative memories. |
Q98469098 | Fast and Accurate Langevin Simulations of Stochastic Hodgkin-Huxley Dynamics |
Q47807013 | Fast and exact simulation methods applied on a broad range of neuron models |
Q46272794 | Fast and robust learning by reinforcement signals: explorations in the insect brain |
Q52208421 | Fast calculation of short-term depressing synaptic conductances. |
Q52038024 | Fast curvature matrix-vector products for second-order gradient descent. |
Q51927891 | Fast generalized cross-validation algorithm for sparse model learning. |
Q47903215 | Fast global oscillations in networks of integrate-and-fire neurons with low firing rates |
Q48317808 | Fast population coding. |
Q46768600 | Fast recursive filters for simulating nonlinear dynamic systems |
Q52196153 | Fast sigmoidal networks via spiking neurons. |
Q47907751 | Fast temporal encoding and decoding with spiking neurons |
Q50567187 | Fast, Accurate Localization of Epileptic Seizure Onset Zones Based on Detection of High-Frequency Oscillations Using Improved Wavelet Transform and Matching Pursuit Methods. |
Q47571345 | FastMMD: Ensemble of Circular Discrepancy for Efficient Two-Sample Test |
Q114926635 | Faster Learning for Dynamic Recurrent Backpropagation |
Q89758811 | Feature Extraction of Surface Electromyography Based on Improved Small-World Leaky Echo State Network |
Q39987678 | Feature Selection for Ridge Regression with Provable Guarantees |
Q33543278 | Feature extraction through LOCOCODE. |
Q48456413 | Feature scaling for kernel fisher discriminant analysis using leave-one-out cross validation. |
Q38169789 | Feature selection for ordinal text classification. |
Q51774690 | Feature selection in simple neurons: how coding depends on spiking dynamics. |
Q51913982 | Feature selection via coalitional game theory. |
Q48896245 | Feature-Based Attention by Lateral Spike Synchronization. |
Q50699212 | Feature-Linking Model for Image Enhancement. |
Q42521901 | Feedback decoding of spatially structured population activity in cortical maps |
Q45943707 | Feedforward Approximations to Dynamic Recurrent Network Architectures. |
Q52051730 | Feedforward neural network construction using cross validation. |
Q49048167 | Fields as limit functions of stochastic discrimination and their adaptability. |
Q45982577 | Figure-ground separation by cue integration. |
Q91588935 | Filtering Compensation for Delays and Prediction Errors during Sensorimotor Control |
Q44680254 | Filtering of spatial bias and noise inputs by spatially structured neural networks |
Q48687050 | Filtering out deep brain stimulation artifacts using a nonlinear oscillatory model. |
Q40225681 | Filtering with State-Observation Examples via Kernel Monte Carlo Filter |
Q114612309 | Finding the Embedding Dimension and Variable Dependencies in Time Series |
Q35563864 | Finding the event structure of neuronal spike trains |
Q97597330 | Fine-Grained 3D-Attention Prototypes for Few-Shot Learning |
Q98967346 | Finite State Automata and Simple Recurrent Networks |
Q51966352 | Finite state automata resulting from temporal information maximization and a temporal learning rule. |
Q47875434 | Firing Rate of the Noisy Quadratic Integrate-and-Fire Neuron |
Q33543272 | Firing rate distributions and efficiency of information transmission of inferior temporal cortex neurons to natural visual stimuli |
Q46643087 | Firing variability is higher than deduced from the empirical coefficient of variation |
Q94445431 | First Passage Time Memory Lifetimes for Multistate, Filter-Based Synapses |
Q47668765 | First Passage Time Memory Lifetimes for Simple, Multistate Synapses |
Q90701093 | First Passage Time Memory Lifetimes for Simple, Multistate Synapses: Beyond the Eigenvector Requirement |
Q114926607 | First- and Second-Order Methods for Learning: Between Steepest Descent and Newton's Method |
Q43988494 | First-spike latency in the presence of spontaneous activity |
Q48005911 | Fisher and Shannon information in finite neural populations. |
Q93271632 | Fixed Points of Competitive Threshold-Linear Networks |
Q34422981 | Flat minima |
Q100745204 | Flexible Working Memory through Selective Gating and Attentional Tagging |
Q45931625 | Fluctuation-dissipation theorem and models of learning. |
Q91053150 | Forgetting Memories and Their Attractiveness |
Q44135049 | Formal modeling of robot behavior with learning. |
Q49081090 | Formation and regulation of dynamic patterns in two-dimensional spiking neural circuits with spike-timing-dependent plasticity. |
Q52076262 | Formation of direction selectivity in natural scene environments. |
Q60241120 | Formulations of Support Vector Machines: A Note from an Optimization Point of View |
Q38421123 | Foundations of support constraint machines. |
Q114926600 | Four Types of Learning Curves |
Q48639433 | Fragility in dynamic networks: application to neural networks in the epileptic cortex. |
Q51927896 | Free-lunch learning: modeling spontaneous recovery of memory. |
Q48460253 | Frequency selectivity emerging from spike-timing-dependent plasticity. |
Q104747896 | From Biophysical to Integrate-and-Fire Modeling |
Q91960260 | From Synaptic Interactions to Collective Dynamics in Random Neuronal Networks Models: Critical Role of Eigenvectors and Transient Behavior |
Q45932475 | From Winner-Takes-All to Winners-Share-All: Exploiting the Information Capacity in Temporal Codes. |
Q114926515 | Full-Span Log-Linear Model and Fast Learning Algorithm |
Q89078066 | Fully Convolutional Network-Based Multifocus Image Fusion |
Q90701100 | Functional Diversity in the Retina Improves the Population Code |
Q48911586 | Functional consequences of an integration of motion and stereopsis in area MT of monkey extrastriate visual cortex. |
Q44223362 | Functional identification of spike-processing neural circuits |
Q51927893 | Functional network topology learning and sensitivity analysis based on ANOVA decomposition. |
Q48751105 | Functional periodic intracortical couplings induced by structured lateral inhibition in a linear cortical network. |
Q40751282 | Fusion of Scores in a Detection Context Based on Alpha Integration |
Q46134462 | GABA transporter preserving ongoing spontaneous neuronal activity at firing subthreshold |
Q46488688 | GABAergic inhibitory control of the transient and sustained components of orientation selectivity in a model microcolumn in layer 4 of cat visual cortex |
Q38754217 | GP-Select: Accelerating EM Using Adaptive Subspace Preselection |
Q100378492 | GTM: The Generative Topographic Mapping |
Q50199189 | Gain control by concerted changes in I(A) and I(H) conductances. |
Q51899504 | Gamma oscillations and stimulus selection. |
Q47828369 | Gamma oscillations in a nonlinear regime: a minimal model approach using heterogeneous integrate-and-fire networks. |
Q44476403 | Gamma rhythmic bursts: coherence control in networks of cortical pyramidal neurons |
Q50928762 | Gap-based estimation: choosing the smoothing parameters for probabilistic and general regression neural networks. |
Q91588964 | Gated Orthogonal Recurrent Units: On Learning to Forget |
Q77160507 | Gaussian process approach to spiking neurons for inhomogeneous Poisson inputs |
Q52070195 | Gaussian processes for classification: mean-field algorithms. |
Q48315667 | General Poisson exact breakdown of the mutual information to study the role of correlations in populations of neurons. |
Q35589642 | General-purpose computation with neural networks: a survey of complexity theoretic results. |
Q38836885 | Generalization Analysis of Fredholm Kernel Regularized Classifiers |
Q95500186 | Generalization Effects of k-Neighbor Interpolation Training |
Q52207485 | Generalization and Analysis of the Lisberger-Sejnowski VOR Model |
Q41817420 | Generalization and multirate models of motor adaptation |
Q52072627 | Generalization and selection of examples in feedforward neural networks. |
Q34270227 | Generalization in interactive networks: the benefits of inhibitory competition and Hebbian learning |
Q47818794 | Generalization of the event-based Carnevale-Hines integration scheme for integrate-and-fire models. |
Q38499029 | Generalized discriminant analysis using a kernel approach |
Q48765902 | Generating spike trains with specified correlation coefficients. |
Q95324745 | Generation of Scale-Invariant Sequential Activity in Linear Recurrent Networks |
Q51831577 | Generation of correlated spike trains. |
Q50854597 | Generation of optimal artificial neural networks using a pattern search algorithm: application to approximation of chemical systems. |
Q28308139 | Generation of spike trains with controlled auto- and cross-correlation functions |
Q42741803 | Generation of synthetic spike trains with defined pairwise correlations |
Q48723902 | Geometric analysis of population rhythms in synaptically coupled neuronal networks. |
Q52001906 | Geometrical computations explain projection patterns of long-range horizontal connections in visual cortex. |
Q51964609 | Geometrical properties of nu support vector machines with different norms. |
Q45086906 | Geometry-invariant texture retrieval using a dual-output pulse-coupled neural network |
Q44513234 | Getting to know your neighbors: unsupervised learning of topography from real-world, event-based input |
Q86781986 | Global Exponential Stability of Cohen-Grossberg Neural Networks with Piecewise Constant Argument of Generalized Type and Impulses |
Q78678601 | Global convergence rate of recurrently connected neural networks |
Q91053158 | Gradient Descent with Identity Initialization Efficiently Learns Positive-Definite Linear Transformations by Deep Residual Networks |
Q51966357 | Gradient-based adaptation of general gaussian kernels. |
Q45967328 | Gradient-based optimization of hyperparameters. |
Q51014817 | Graph degree sequence solely determines the expected hopfield network pattern stability. |
Q51999928 | Greedy learning of multiple objects in images using robust statistics and factorial learning. |
Q51782253 | Growing self-organizing surface map: learning a surface topology from a point cloud. |
Q114926628 | Guaranteed Learning Algorithm for Network with Units Having Periodic Threshold Output Function |
Q45033678 | Guaranteed classification via regularized similarity learning |
Q51539181 | Guaranteed cost synchronization of chaotic cellular neural networks with time-varying delay. |
Q95500165 | Handwritten Digit Recognition Using K Nearest-Neighbor, Radial-Basis Function, and Backpropagation Neural Networks |
Q50597929 | Hardware-amenable structural learning for spike-based pattern classification using a simple model of active dendrites. |
Q35213488 | Have brain dynamics evolved? Should we look for unique dynamics in the sapient species? |
Q44191669 | Hebbian imprinting and retrieval in oscillatory neural networks |
Q47915051 | Hebbian learning of context in recurrent neural networks |
Q48507606 | Hebbian learning of recurrent connections: a geometrical perspective. |
Q48270166 | Hebbian plasticity and homeostasis in a model of hypercolumn of the visual cortex |
Q33504795 | Hebbian self-organizing integrate-and-fire networks for data clustering |
Q50620382 | Hermite Functional Link Neural Network for Solving the Van der Pol-Duffing Oscillator Equation. |
Q95324744 | Heterogeneous Synaptic Weighting Improves Neural Coding in the Presence of Common Noise |
Q91157002 | Hexagonal Grid Fields Optimally Encode Transitions in Spatiotemporal Sequences |
Q92730821 | Hidden Aspects of the Research ADOS Are Bound to Affect Autism Science |
Q92118176 | Hidden Markov Models Predict the Future Choice Better Than a PSTH-Based Method |
Q43466397 | Hidden Markov models for the stimulus-response relationships of multistate neural systems |
Q88133634 | Hidden Quantum Processes, Quantum Ion Channels, and 1/ fθ-Type Noise |
Q52224744 | Hidden neural networks. |
Q49112558 | Hierarchical Error Representation: A Computational Model of Anterior Cingulate and Dorsolateral Prefrontal Cortex. |
Q98971380 | Hierarchical Mixtures of Experts and the EM Algorithm |
Q73688792 | Hierarchical bayesian models for regularisation in sequential learning |
Q35057117 | Hierarchical control using networks trained with higher-level forward models |
Q42056301 | High-dimensional cluster analysis with the masked EM algorithm |
Q44241848 | High-dimensional feature selection by feature-wise kernelized Lasso |
Q52224784 | High-order contrasts for independent component analysis. |
Q46464830 | Higher-order approximations for testing neglected nonlinearity |
Q47880400 | Higher-order statistics of input ensembles and the response of simple model neurons |
Q40429782 | Hints |
Q50591832 | Homeostatic plasticity for single node delay-coupled reservoir computing. |
Q104747900 | How Convolutional Neural Network Architecture Biases Learned Opponency and Color Tuning |
Q42922283 | How are lateral chromatic interactions computed from cone signals? |
Q36169842 | How close are we to understanding v1? |
Q52198968 | How dependencies between successive examples affect on-line learning. |
Q39631081 | How does maintenance of network activity depend on endogenous dynamics of isolated neurons? |
Q51940168 | How inhibitory oscillations can train neural networks and punish competitors. |
Q52969276 | How many clusters? An information-theoretic perspective. |
Q47859065 | How membrane properties shape the discharge of motoneurons: a detailed analytical study |
Q47853129 | How noise affects the synchronization properties of recurrent networks of inhibitory neurons |
Q51899595 | How optimal stimuli for sensory neurons are constrained by network architecture. |
Q51603645 | How precise is neuronal synchronization? |
Q45802140 | How sample paths of leaky integrate-and-fire models are influenced by the presence of a firing threshold |
Q48214920 | How synaptic release probability shapes neuronal transmission: information-theoretic analysis in a cerebellar granule cell |
Q48823284 | How the brain generates movement. |
Q44789901 | How the shape of pre- and postsynaptic signals can influence STDP: a biophysical model. |
Q41689850 | How to compress sequential memory patterns into periodic oscillations: general reduction rules |
Q52135444 | How to design a connectionist holistic parser. |
Q51782258 | How to modify a neural network gradually without changing its input-output functionality. |
Q36075436 | How to pretend that correlated variables are independent by using difference observations |
Q52270213 | How well can we estimate the information carried in neuronal responses from limited samples? |
Q44663287 | Hybrid integrate-and-fire model of a bursting neuron |
Q46041879 | Hybrid modeling, HMM/NN architectures, and protein applications |
Q97597331 | Hyperbolic-Valued Hopfield Neural Networks in Synchronous Mode |
Q24625947 | Hyperbolically discounted temporal difference learning |
Q115027994 | Hypothesis Test and Confidence Analysis With Wasserstein Distance on General Dimension |
Q52106925 | ISO Learning Approximates a Solution to the Inverse-Controller Problem in an Unsupervised Behavioral Paradigm |
Q45933852 | Identification and continuity of the distributions of burst-length and interspike intervals in the stochastic Morris-Lecar neuron. |
Q47561932 | Identification of Linear and Nonlinear Sensory Processing Circuits from Spiking Neuron Data |
Q39457715 | Identification of Stable Spike-Timing-Dependent Plasticity from Spiking Activity with Generalized Multilinear Modeling. |
Q48608378 | Identification of directed influence: Granger causality, Kullback-Leibler divergence, and complexity. |
Q41505868 | Identification of multiple-input systems with highly coupled inputs: application to EMG prediction from multiple intracortical electrodes |
Q36902042 | Identifying functional bases for multidimensional neural computations |
Q33442947 | Identifying functional connectivity in large-scale neural ensemble recordings: a multiscale data mining approach |
Q80935826 | Image representation by complex cell responses |
Q52264435 | Image segmentation based on oscillatory correlation. |
Q47862713 | Image segmentation by networks of spiking neurons |
Q38404634 | Images, frames, and connectionist hierarchies |
Q47859890 | Imaging the Spatiotemporal Dynamics of Cognitive Processes at High Temporal Resolution |
Q47900043 | Impact of correlated inputs on the output of the integrate- and-fire model |
Q51300621 | Impact of correlated neural activity on decision-making performance. |
Q47888159 | Impact of geometrical structures on the output of neuronal models: a theoretical and numerical analysis. |
Q46976321 | Impact of spike train autostructure on probability distribution of joint spike events |
Q47808860 | Implementing a Bayes Filter in a Neural Circuit: The Case of Unknown Stimulus Dynamics |
Q48498276 | Implications of neuronal diversity on population coding. |
Q51624405 | Implications of noise and neural heterogeneity for vestibulo-ocular reflex fidelity. |
Q48288554 | Implicit learning in 3D object recognition: the importance of temporal context. |
Q47817000 | Importance of the cutoff value in the quadratic adaptive integrate-and-fire model |
Q48158844 | Imposing biological constraints onto an abstract neocortical attractor network model |
Q47415960 | Improved Perceptual Learning by Control of Extracellular GABA Concentration by Astrocytic Gap Junctions |
Q42088215 | Improved integral equation solution for the first passage time of leaky integrate-and-fire neurons. |
Q52221226 | Improved multidimensional scaling analysis using neural networks with distance-error backpropagation. |
Q45773371 | Improved similarity measures for small sets of spike trains |
Q48883716 | Improved sparse coding under the influence of perceptual attention. |
Q52070197 | Improvements to the sensitivity of gravitational clustering for multiple neuron recordings. |
Q114926572 | Improving Generalization for Temporal Difference Learning: The Successor Representation |
Q91960278 | Improving Generalization via Attribute Selection on Out-of-the-Box Data |
Q47268872 | Improving Spiking Dynamical Networks: Accurate Delays, Higher-Order Synapses, and Time Cells |
Q91157009 | Improving Stock Closing Price Prediction Using Recurrent Neural Network and Technical Indicators |
Q52089627 | Improving generalization capabilities of dynamic neural networks. |
Q52001896 | Improving generalization performance of natural gradient learning using optimized regularization by NIC. |
Q93062138 | Improving the Antinoise Ability of DNNs via a Bio-Inspired Noise Adaptive Activation Function Rand Softplus |
Q95500280 | Improving the Generalization Properties of Radial Basis Function Neural Networks |
Q50483044 | Improving the Incoherence of a Learned Dictionary via Rank Shrinkage. |
Q52174464 | Improving the convergence of the backpropagation algorithm using learning rate adaptation methods. |
Q52129006 | Improving the practice of classifier performance assessment. |
Q95500176 | Including Hints in Training Neural Nets |
Q47868363 | Including long-range dependence in integrate-and-fire models of the high interspike-interval variability of cortical neurons |
Q74145442 | Increased synchrony with increase of a low-threshold calcium conductance in a model thalamic network: a phase-shift mechanism |
Q51796958 | Increasing memory capacity and reducing spurious states in neural networks by introducing coherent and collective firing. |
Q52070147 | Incremental active learning for optimal generalization. |
Q50659090 | Incremental learning by message passing in hierarchical temporal memory. |
Q36280443 | Incremental online learning in high dimensions |
Q44376792 | Incremental slow feature analysis: adaptive low-complexity slow feature updating from high-dimensional input streams |
Q38575045 | Indefinite Proximity Learning: A Review |
Q48288525 | Independent component analysis using an extended infomax algorithm for mixed subgaussian and supergaussian sources. |
Q52135451 | Independent component analysis: A flexible nonlinearity and decorrelating manifold approach. |
Q48511051 | Independent components of magnetoencephalography: localization. |
Q41649512 | Independent factor analysis |
Q42096787 | Independent variable time-step integration of individual neurons for network simulations. |
Q30384830 | Independent vector analysis for source separation using a mixture of gaussians prior. |
Q94445434 | Independently Interpretable Lasso for Generalized Linear Models |
Q73011724 | Indexed families of functionals and gaussian radial basis functions |
Q43143753 | Indices for testing neural codes |
Q50000108 | Indistinguishable Synapses Lead to Sparse Networks. |
Q43009526 | Individual differences in nucleus accumbens dopamine receptors predict development of addiction-like behavior: a computational approach. |
Q96293560 | Inference of a Mesoscopic Population Model from Population Spike Trains |
Q114891241 | Inferring Mechanisms of Auditory Attentional Modulation with Deep Neural Networks |
Q99569112 | Inferring Neuronal Couplings from Spiking Data Using a Systematic Procedure with a Statistical Criterion |
Q30579876 | Inferring perceptual saliency fields from viewpoint-dependent recognition data |
Q41062059 | Infinite Continuous Feature Model for Psychiatric Comorbidity Analysis |
Q35975415 | Infinite von Mises–Fisher Mixture Modeling of Whole Brain fMRI Data |
Q114926535 | Influence Function Analysis of PCA and BCM Learning |
Q43679475 | Influence of external inputs and asymmetry of connections on information-geometric measures involving up to ten neuronal interactions |
Q92441372 | Information Geometry for Regularized Optimal Transport and Barycenters of Patterns |
Q53233583 | Information Maximization Explains the Sparseness of Presynaptic Neural Response. |
Q47915813 | Information Rate Analysis of a Synaptic Release Site Using a Two-State Model of Short-Term Depression |
Q48248988 | Information and topology in attractor neural networks |
Q51670214 | Information geometry of U-Boost and Bregman divergence. |
Q81326745 | Information geometry of interspike intervals in spiking neurons |
Q52074993 | Information geometry of mean-field approximation. |
Q43055000 | Information in the nonstationary case |
Q77891262 | Information loss in an optimal maximum likelihood decoding |
Q52231972 | Information maximization and independent component analysis; is there a difference? |
Q50761309 | Information recall using relative spike timing in a spiking neural network. |
Q43797272 | Information transfer between rhythmically coupled networks: reading the hippocampal phase code |
Q86759669 | Information transfer through stochastic transmission of a linear combination of rates |
Q48199635 | Information transmission using non-poisson regular firing |
Q50000079 | Information-Theoretic Bounds and Approximations in Neural Population Coding. |
Q100745202 | Information-Theoretic Representation Learning for Positive-Unlabeled Classification |
Q48461002 | Information-geometric measure for neural spikes. |
Q51819291 | Information-geometric measures as robust estimators of connection strengths and external inputs. |
Q43848904 | Information-geometric measures for estimation of connection weight under correlated inputs |
Q46134842 | Information-maximization clustering based on squared-loss mutual information |
Q44744384 | Information-theoretic semi-supervised metric learning via entropy regularization |
Q47640441 | Inheritance of Hippocampal Place Fields Through Hebbian Learning: Effects of Theta Modulation and Phase Precession on Structure Formation |
Q92441367 | Inhibition and Excitation Shape Activity Selection: Effect of Oscillations in a Decision-Making Circuit |
Q43083915 | Inhibition in multiclass classification |
Q37131452 | Inhibition in superior colliculus neurons in a brightness discrimination task? |
Q51624390 | Inhomogeneities in heteroassociative memories with linear learning rules. |
Q50692248 | Input statistics and Hebbian cross-talk effects. |
Q50596067 | Input-anticipating critical reservoirs show power law forgetting of unexpected input events. |
Q80373891 | Input-driven oscillations in networks with excitatory and inhibitory neurons with dynamic synapses |
Q51986982 | Insect-inspired estimation of egomotion. |
Q51593454 | Insights from a simple expression for linear fisher information in a recurrently connected population of spiking neurons. |
Q42415756 | Integrate-and-fire neurons driven by correlated stochastic input |
Q90124208 | Integrating Flexible Normalization into Midlevel Representations of Deep Convolutional Neural Networks |
Q114926527 | Integration of Leaky-Integrate-and-Fire Neurons in Standard Machine Learning Architectures to Generate Hybrid Networks: A Surrogate Gradient Approach |
Q51615678 | Integration of reinforcement learning and optimal decision-making theories of the basal ganglia. |
Q80836076 | Integration of stochastic models by minimizing alpha-divergence |
Q51186687 | Integrator or Coincidence Detector: A Novel Measure Based on the Discrete Reverse Correlation to Determine a Neuron's Operational Mode. |
Q63982369 | Interaction between Transparency and Structure from Motion |
Q48277222 | Interactions of excitatory and inhibitory feedback topologies in facilitating pattern separation and retrieval |
Q42881009 | Internal-time temporal difference model for neural value-based decision making |
Q33656602 | Interpretation of the Precision Matrix and Its Application in Estimating Sparse Brain Connectivity during Sleep Spindles from Human Electrocorticography Recordings |
Q47880446 | Interspike interval correlations, memory, adaptation, and refractoriness in a leaky integrate-and-fire model with threshold fatigue |
Q46040055 | Interspike interval statistics in the stochastic Hodgkin-Huxley model: coexistence of gamma frequency bursts and highly irregular firing. |
Q38258653 | Intracellular dynamics of virtual place cells |
Q51496274 | Intrinsic adaptation in autonomous recurrent neural networks. |
Q51096060 | Intrinsic graph structure estimation using graph Laplacian. |
Q46124130 | Intrinsic stabilization of output rates by spike-based Hebbian learning |
Q40429793 | Introducing Asymmetry into Interneuron Learning |
Q92441363 | Introducing User-Prescribed Constraints in Markov Chains for Nonlinear Dimensionality Reduction |
Q114926512 | Invariance, Encodings, and Generalization: Learning Identity Effects With Neural Networks |
Q48353575 | Invariant global motion recognition in the dorsal visual system: a unifying theory. |
Q51004489 | Invariant object recognition and pose estimation with slow feature analysis. |
Q48446276 | Invariant object recognition in the visual system with novel views of 3D objects. |
Q51462157 | Investigating the fault tolerance of neural networks. |
Q44802401 | Investigation of possible neural architectures underlying information-geometric measures |
Q52235874 | Ion channel stochasticity may be critical in determining the reliability and precision of spike timing. |
Q37314719 | Irregular firing of isolated cortical interneurons in vitro driven by intrinsic stochastic mechanisms |
Q30979610 | Is First-Order Vector Autoregressive Model Optimal for fMRI Data? |
Q42795534 | Is the homunculus "aware" of sensory adaptation? |
Q48205372 | Is there something out there? Inferring space from sensorimotor dependencies. |
Q52106927 | Isotropic sequence order learning. |
Q34462644 | Issues in Bayesian Analysis of Neural Network Models |
Q91189941 | Iterative Retrieval and Block Coding in Autoassociative and Heteroassociative Memory |
Q42519116 | J4 at sweet 16: a new wrinkle? |
Q44740383 | JPEG quality transcoding using neural networks trained with a perceptual error measure |
Q52001893 | Jacobian conditioning analysis for model validation. |
Q47434303 | Joint Concept Correlation and Feature-Concept Relevance Learning for Multilabel Classification |
Q52590059 | Joint Estimation of Effective Brain Wave Activation Modes Using EEG/MEG Sensor Arrays and Multimodal MRI Volumes. |
Q48511039 | Joint entropy maximization in kernel-based topographic maps. |
Q42951856 | Just-in-time connectivity for large spiking networks |
Q51946417 | Justifying and generalizing contrastive divergence. |
Q52001419 | Kalman filter control embedded into the reinforcement learning framework. |
Q59459406 | Kernel Current Source Density Method |
Q82632831 | Kernel fisher discriminants for outlier detection |
Q51930657 | Kernel least-squares models using updates of the pseudoinverse. |
Q52184371 | Kernel-Based Equiprobabilistic Topographic Map Formation. |
Q48571216 | Kernel-based topographic map formation by local density modeling. |
Q50541565 | Kernelized Elastic Net Regularization: Generalization Bounds, and Sparse Recovery. |
Q33932008 | Kernels for longitudinal data with variable sequence length and sampling intervals. |
Q95500193 | Kolmogorov's Theorem Is Relevant |
Q45947244 | LQG Online Learning. |
Q45949791 | LSV-Based Tail Inequalities for Sums of Random Matrices. |
Q47886715 | Lag Synchronization Criteria for Memristor-Based Coupled Neural Networks via Parameter Mismatches Analysis Approach |
Q52074437 | Lambda-opt neural approaches to quadratic assignment problems. |
Q114829952 | Laplacian Eigenmaps for Dimensionality Reduction and Data Representation |
Q43722398 | Large margin low rank tensor analysis |
Q33626853 | Large-margin classification in infinite neural networks |
Q44886453 | Large-scale linear rankSVM. |
Q47898564 | Latent attractors: a model for context-dependent place representations in the hippocampus |
Q33340799 | Latent features in similarity judgments: a nonparametric bayesian approach |
Q40548241 | Lateral neural model of binocular rivalry |
Q52325970 | LeRec: A NN/HMM Hybrid for On-Line Handwriting Recognition |
Q114926578 | Learning Competition and Cooperation |
Q55886646 | Learning Complex, Extended Sequences Using the Principle of History Compression |
Q91508560 | Learning Compositional Representations of Interacting Systems with Restricted Boltzmann Machines: Comparative Study of Lattice Proteins |
Q114926589 | Learning Curves for Error Minimum and Maximum Likelihood Algorithms |
Q91156991 | Learning Data Manifolds with a Cutting Plane Method |
Q57308324 | Learning Factorial Codes by Predictability Minimization |
Q114926559 | Learning Finite State Machines With Self-Clustering Recurrent Networks |
Q52067123 | Learning Hough transform: a neural network model. |
Q90701083 | Learning Invariant Features in Modulatory Networks through Conflict and Ambiguity |
Q47926379 | Learning Midlevel Auditory Codes from Natural Sound Statistics |
Q44497106 | Learning Minimal Latent Directed Information Polytrees |
Q114926577 | Learning Mixture Models of Spatial Coherence |
Q93062128 | Learning Moral Graphs in Construction of High-Dimensional Bayesian Networks for Mixed Data |
Q47279507 | Learning Polychronous Neuronal Groups Using Joint Weight-Delay Spike-Timing-Dependent Plasticity |
Q50529635 | Learning Precise Spike Train-to-Spike Train Transformations in Multilayer Feedforward Neuronal Networks. |
Q50443978 | Learning Rates for Classification with Gaussian Kernels. |
Q47908146 | Learning Simpler Language Models with the Differential State Framework |
Q48177928 | Learning Slowness in a Sparse Model of Invariant Feature Detection. |
Q40398877 | Learning Spatiotemporally Encoded Pattern Transformations in Structured Spiking Neural Networks |
Q56553344 | Learning State Space Trajectories in Recurrent Neural Networks |
Q51930656 | Learning Tetris using the noisy cross-entropy method. |
Q50499957 | Learning Theory Estimates with Observations from General Stationary Stochastic Processes. |
Q114926624 | Learning Virtual Equilibrium Trajectories for Control of a Robot Arm |
Q50513563 | Learning Visual Spatial Pooling by Strong PCA Dimension Reduction. |
Q51893244 | Learning a generative model of images by factoring appearance and shape. |
Q49084613 | Learning a sparse code for temporal sequences using STDP and sequence compression. |
Q51631104 | Learning active fusion of multiple experts' decisions: an attention-based approach. |
Q61011735 | Learning and Extracting Finite State Automata with Second-Order Recurrent Neural Networks |
Q52205229 | Learning and Generalization with Minimerror, A Temperature-Dependent Learning Algorithm |
Q114926513 | Learning and Inference in Sparse Coding Models With Langevin Dynamics |
Q52199758 | Learning and generalization in cascade network architectures. |
Q52206369 | Learning and generalization in radial basis function networks. |
Q51950476 | Learning beyond finite memory in recurrent networks of spiking neurons. |
Q30993366 | Learning bounds for kernel regression using effective data dimensionality |
Q114926646 | Learning by Assertion: Two Methods for Calibrating a Linear Visual System |
Q95500183 | Learning by Asymmetric Parallel Boltzmann Machines |
Q30942003 | Learning chaotic attractors by neural networks. |
Q46411199 | Learning classification in the olfactory system of insects |
Q51433258 | Learning coefficient of generalization error in Bayesian estimation and vandermonde matrix-type singularity. |
Q52119890 | Learning curves for Gaussian process regression: approximations and bounds. |
Q51341964 | Learning curves for stochastic gradient descent in linear feedforward networks. |
Q50596066 | Learning dynamics of a single polar variable complex-valued neuron. |
Q51990940 | Learning eigenfunctions links spectral embedding and kernel PCA. |
Q101043628 | Learning in Artificial Neural Networks: A Statistical Perspective |
Q114926537 | Learning in Boltzmann Trees |
Q114926539 | Learning in Neural Networks with Material Synapses |
Q104747895 | Learning in Volatile Environments with the Bayes Factor Surprise |
Q56992470 | Learning in the Recurrent Random Neural Network |
Q47817758 | Learning innate face preferences |
Q43570680 | Learning intermediate-level representations of form and motion from natural movies |
Q48681563 | Learning invariance from natural images inspired by observations in the primary visual cortex. |
Q63334504 | Learning invariance from transformation sequences |
Q50692240 | Learning nonlinear statistical regularities in natural images by modeling the outer product of image intensities. |
Q52011065 | Learning nonregular languages: a comparison of simple recurrent networks and LSTM. |
Q48690309 | Learning object representations using a priori constraints within ORASSYLL. |
Q114926554 | Learning of Phase Lags in Coupled Neural Oscillators |
Q51966354 | Learning only when necessary: better memories of correlated patterns in networks with bounded synapses. |
Q42601942 | Learning optimized features for hierarchical models of invariant object recognition |
Q52129000 | Learning overcomplete representations. |
Q52199759 | Learning perceptually salient visual parameters using spatiotemporal smoothness constraints. |
Q38100825 | Learning quadratic receptive fields from neural responses to natural stimuli |
Q50646399 | Learning rates of lq coefficient regularization learning with gaussian kernel. |
Q47837124 | Learning real-world stimuli in a neural network with spike-driven synaptic dynamics |
Q48897734 | Learning rule of homeostatic synaptic scaling: presynaptic dependent or not. |
Q50755338 | Learning spatial invariance with the trace rule in nonuniform distributions. |
Q51713300 | Learning spike-based population codes by reward and population feedback. |
Q35544469 | Learning the Gestalt Rule of Collinearity from Object Motion |
Q50928773 | Learning the Lie groups of visual invariance. |
Q52008807 | Learning the Nonlinearity of Neurons from Natural Visual Stimuli |
Q50466142 | Learning the Structural Vocabulary of a Network. |
Q95500262 | Learning the Unlearnable |
Q33526432 | Learning the dynamical system behind sensory data |
Q47750185 | Learning the dynamics of objects by optimal functional interpolation |
Q56058044 | Learning to Control Fast-Weight Memories: An Alternative to Dynamic Recurrent Networks |
Q114926568 | Learning to Generalize from Single Examples in the Dynamic Link Architecture |
Q114926598 | Learning to Segment Images Using Dynamic Feature Binding |
Q51646281 | Learning to design synergetic computers with an extended symmetric diffusion network. |
Q51792128 | Learning to discriminate through long-term changes of dynamical synaptic transmission. |
Q34060132 | Learning to forget: continual prediction with LSTM. |
Q31049512 | Learning to recognize three-dimensional objects |
Q51723199 | Learning to represent spatial transformations with factored higher-order Boltzmann machines. |
Q47893583 | Learning where to attend with deep architectures for image tracking |
Q50928766 | Learning with "relevance": using a third factor to stabilize Hebbian learning. |
Q92118188 | Learning with Precise Spike Times: A New Decoding Algorithm for Liquid State Machines |
Q50763725 | Learning with boundary conditions. |
Q46897398 | Learning with convex loss and indefinite kernels |
Q39342872 | Least squares estimation without priors or supervision |
Q51645461 | Least-squares independent component analysis. |
Q60241071 | Leave-One-Out Bounds for Support Vector Regression Model Selection |
Q47952594 | Likelihood methods for point processes with refractoriness |
Q57472007 | Limitations of Proposed Signatures of Bayesian Confidence |
Q44645821 | Limited stochastic meta-descent for kernel-based online learning |
Q59682469 | Linear Geometric ICA: Fundamentals and Algorithms |
Q50862316 | Linear Methods for Efficient and Fast Separation of Two Sources Recorded with a Single Microphone. |
Q47199101 | Linear constraints on weight representation for generalized learning of multilayer networks |
Q51324206 | Linear coordinate-descent message passing for quadratic optimization. |
Q51927894 | Linear multilayer ICA generating hierarchical edge detectors. |
Q52001910 | Linear response algorithms for approximate inference in graphical models. |
Q52235869 | Linearization of F-I curves by adaptation. |
Q39621243 | Linking Neuromodulated Spike-Timing Dependent Plasticity with the Free-Energy Principle. |
Q56533059 | Local Algorithms for Pattern Recognition and Dependencies Estimation |
Q47886667 | Local Intrinsic Dimension Estimation by Generalized Linear Modeling. |
Q114926586 | Local Learning Algorithms |
Q114926593 | Local Synaptic Learning Rules Suffice to Maximize Mutual Information in a Linear Network |
Q48027968 | Local and Global Gestalt Laws: A Neurally Based Spectral Approach |
Q42486743 | Local and global gating of synaptic plasticity |
Q73909546 | Local interactions in neural networks explain global effects in Gestalt processing and masking |
Q86488385 | Local linear approximation of the Jacobian matrix better captures phase resetting of neural limit cycle oscillators |
Q74135517 | Local overfitting control via leverages |
Q48874999 | Localist attractor networks. |
Q52111145 | Locality of global stochastic interaction in directed acyclic networks. |
Q48339260 | Localization of Function via Lesion Analysis |
Q24805158 | Long short-term memory |
Q51831590 | Long-range out-of-sample properties of autoregressive neural networks. |
Q40621633 | Long-term reward prediction in TD models of the dopamine system |
Q48413760 | Low-dimensional maps encoding dynamics in entorhinal cortex and hippocampus. |
Q95500196 | Lowering Variance of Decisions by Using Artificial Neural Network Portfolios |
Q73265491 | Lyapunov functions for neural nets with nondifferentiable input-output characteristics |
Q51909886 | MISEP method for postnonlinear blind source separation. |
Q47185537 | MLP in layer-wise form with applications to weight decay |
Q39675813 | MOSAIC for multiple-reward environments |
Q92497780 | Machine Learning of Time Series Using Time-Delay Embedding and Precision Annealing |
Q89078054 | Machine Learning: Deepest Learning as Statistical Data Assimilation Problems |
Q45962317 | Machine-learning-based coadaptive calibration for brain-computer interfaces. |
Q51957395 | Magnification control in self-organizing maps and neural gas. |
Q47861182 | Maintaining Consistency of Spatial Information in the Hippocampal Network: A Combinatorial Geometry Model. |
Q49079504 | Making the error-controlling algorithm of observable operator models constructive. |
Q34479655 | Making working memory work: a computational model of learning in the prefrontal cortex and basal ganglia. |
Q62493487 | Manhattan world: orientation and outlier detection by Bayesian inference |
Q52128250 | Manifold stochastic dynamics for Bayesian learning. |
Q48460981 | Many-layered learning. |
Q37679662 | Mapping of visual receptive fields by tomographic reconstruction |
Q45945384 | Margin Error Bounds for Support Vector Machines on Reproducing Kernel Banach Spaces. |
Q51415578 | Markov chain Monte Carlo methods for state-space models with point process observations. |
Q48706590 | Marr's theory of the neocortex as a self-organizing neural network. |
Q35613223 | Mathematical equivalence of two common forms of firing rate models of neural networks |
Q92194272 | Matrix Product State-Based Quantum Classifier |
Q38367949 | Maximally reliable Markov chains under energy constraints |
Q114926588 | Maximum Entropy and Learning Theory |
Q31155045 | Maximum Pseudolikelihood Estimation for Model-Based Clustering of Time Series Data |
Q47814118 | Maximum likelihood decoding of neuronal inputs from an interspike interval distribution |
Q47866601 | Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model |
Q81759548 | Maximum likelihood set for estimating a probability mass function |
Q48947887 | Maximum likelihood topographic map formation. |
Q45165316 | Maximum memory capacity on neural networks with short-term synaptic depression and facilitation. |
Q47431747 | McCulloch-Pitts Brains and Pseudorandom Functions |
Q47918704 | Mean First Passage Memory Lifetimes by Reducing Complex Synapses to Simple Synapses |
Q42163407 | Mean field and capacity in realistic networks of spiking neurons storing sparsely coded random memories |
Q79779276 | Mean instantaneous firing frequency is always higher than the firing rate |
Q48455785 | Mean, variance, and autocorrelation of subthreshold potential fluctuations driven by filtered conductance shot noise. |
Q47846175 | Mean-driven and fluctuation-driven persistent activity in recurrent networks |
Q41661349 | Mean-field approaches to independent component analysis |
Q46335649 | Mean-field approximations for coupled populations of generalized linear model spiking neurons with Markov refractoriness |
Q46238880 | Measure of correlation orthogonal to change in firing rate |
Q77525649 | Measuring information spatial densities |
Q114926542 | Measuring the VC-Dimension of a Learning Machine |
Q52074991 | Measuring the VC-dimension using optimized experimental design. |
Q46007994 | Mechanism-Based and Input-Output Modeling of the Key Neuronal Connections and Signal Transformations in the CA3-CA1 Regions of the Hippocampus. |
Q34465317 | Mechanisms shaping fast excitatory postsynaptic currents in the central nervous system |
Q51605696 | Mechanisms that modulate the transfer of spiking correlations. |
Q42652151 | Memorization and association on a realistic neural model |
Q124967576 | Memory Capacity for Sequences in a Recurrent Network with Biological Constraints |
Q48188408 | Memory Encoding by Theta Phase Precession in the Hippocampal Network |
Q50545208 | Memory Stacking in Hierarchical Networks. |
Q48166140 | Memory States and Transitions between Them in Attractor Neural Networks. |
Q37635148 | Memory capacities for synaptic and structural plasticity |
Q48640750 | Memory capacity for sequences in a recurrent network with biological constraints. |
Q51634063 | Memory capacity of balanced networks. |
Q48270176 | Memory dynamics in attractor networks with saliency weights |
Q52040266 | Memory maintenance via neuronal regulation. |
Q50659085 | Memory nearly on a spring: a mean first passage time approach to memory lifetimes. |
Q40250769 | Memristor models for machine learning |
Q51896824 | Messages of oscillatory correlograms: a spike train model. |
Q43545948 | Metabolically efficient information processing |
Q45961172 | Metacognitive learning in a fully complex-valued radial basis function neural network. |
Q40429787 | Methods For Combining Experts' Probability Assessments |
Q88350845 | Methods for Assessment of Memory Reactivation |
Q52041536 | Methods for binary multidimensional scaling. |
Q45024657 | Microdomain [Ca(2+)] Fluctuations Alter Temporal Dynamics in Models of Ca(2+)-Dependent Signaling Cascades and Synaptic Vesicle Release |
Q114926528 | Might a Single Neuron Solve Interesting Machine Learning Problems Through Successive Computations on Its Dendritic Tree? |
Q48126333 | Minimal Sign Representation of Boolean Functions: Algorithms and Exact Results for Low Dimensions |
Q95324690 | Minimal Spiking Neuron for Solving Multilabel Classification Tasks |
Q49028166 | Minimal model for intracellular calcium oscillations and electrical bursting in melanotrope cells of Xenopus laevis. |
Q45033862 | Minimal models of adapted neuronal response to in vivo-like input currents |
Q48546917 | Minimax mutual information approach for independent component analysis. |
Q51899605 | Minimization of error functionals over perceptron networks. |
Q41714418 | Minimizing binding errors using learned conjunctive features |
Q41730928 | Minimizing binding errors using learned conjunctive features |
Q50854601 | Minimum acceleration criterion with constraints implies bang-bang control as an underlying principle for optimal trajectories of arm reaching movements. |
Q48930252 | Mirror symmetric topographic maps can arise from activity-dependent synaptic changes. |
Q46473232 | Mismatched training and test distributions can outperform matched ones |
Q51356612 | Mixture modeling with pairwise, instance-level class constraints. |
Q52034457 | Mixture of experts classification using a hierarchical mixture model. |
Q52224761 | Mixtures of Probabilistic Principal Component Analyzers |
Q98469094 | Modal Principal Component Analysis |
Q52082904 | Model dependence in quantification of spike interdependence by joint peri-stimulus time histogram. |
Q44652652 | Model reductions for inference: generality of pairwise, binary, and planar factor graphs |
Q28424410 | Model selection for convolutive ICA with an application to spatiotemporal analysis of EEG |
Q92730811 | Model-Free Robust Optimal Feedback Mechanisms of Biological Motor Control |
Q51645485 | Model-based decoding, information estimation, and change-point detection techniques for multineuron spike trains. |
Q51977186 | Model-based reinforcement learning for partially observable games with sampling-based state estimation. |
Q44399518 | Modeling Cross-Modal Enhancement and Modality-Specific Suppression in Multisensory Neurons |
Q46202004 | Modeling Reaching Impairment After Stroke Using a Population Vector Model of Movement Control That Incorporates Neural Firing-Rate Variability |
Q52072631 | Modeling alternation to synchrony with inhibitory coupling: a neuromorphic VLSI approach. |
Q40825211 | Modeling and prediction of human behavior |
Q50266675 | Modeling basal ganglia for understanding Parkinsonian reaching movements. |
Q51636159 | Modeling mental navigation in scenes with multiple objects. |
Q45973208 | Modeling multivariate time series on manifolds with skew radial basis functions. |
Q34342855 | Modeling neuronal assemblies: theory and implementation |
Q51982365 | Modeling of synchronized bursting events: the importance on inhomogeneity. |
Q48339277 | Modeling reverse-phi motion-selective neurons in cortex: double synaptic-veto mechanism. |
Q51603833 | Modeling selective attention using a neuromorphic analog VLSI device. |
Q36876542 | Modeling sensorimotor learning with linear dynamical systems |
Q47880421 | Modeling short-term synaptic depression in silicon |
Q52302839 | Modeling slowly bursting neurons via calcium store and voltage-independent calcium current. |
Q51700552 | Modeling stereopsis via Markov random field. |
Q47901320 | Modeling synaptic plasticity in conjuction with the timing of pre- and postsynaptic action potentials |
Q90701072 | Modeling the Correlated Activity of Neural Populations: A Review |
Q52175541 | Modeling the combination of motion, stereo, and vergence angle cues to visual depth. |
Q41705407 | Modeling the surround of MT cells and their selectivity for surface orientation in depth specified by motion |
Q114926569 | Models of Perceptual Learning in Vernier Hyperacuity |
Q41233143 | Models of orientation and ocular dominance columns in the visual cortex: a critical comparison |
Q46037530 | Models wagging the dog: are circuits constructed with disparate parameters? |
Q56066732 | Modular Construction of Time-Delay Neural Networks for Speech Recognition |
Q48199659 | Modular encoding and decoding models derived from bayesian canonical correlation analysis |
Q47937373 | Modulation of Context-Dependent Spatiotemporal Patterns within Packets of Spiking Activity |
Q42078564 | Molecular diffusion model of neurotransmitter homeostasis around synapses supporting gradients |
Q48779493 | Mosaic model for sensorimotor learning and control. |
Q51968399 | Motion contrast classification is a linearly nonseparable problem. |
Q42109115 | Motion-based prediction is sufficient to solve the aperture problem |
Q42572893 | Motor cortex microcircuit simulation based on brain activity mapping. |
Q42721578 | Movement duration, Fitts's law, and an infinite-horizon optimal feedback control model for biological motor systems |
Q81876009 | Movement generation with circuits of spiking neurons |
Q92194286 | Multi-Input, Multi-Output Neuronal Mode Network Approach to Modeling the Encoding Dynamics and Functional Connectivity of Neural Systems |
Q57472008 | Multi-Instance Dimensionality Reduction via Sparsity and Orthogonality |
Q47918720 | Multiassociative Memory: Recurrent Synapses Increase Storage Capacity |
Q114926525 | Multibranch Formal Neuron: An Internally Nonlinear Learning Unit |
Q91588987 | Multiclass Alpha Integration of Scores from Multiple Classifiers |
Q90316137 | Multiclass Classification and Feature Selection Based on Least Squares Regression with Large Margin |
Q74145439 | Multidimensional encoding strategy of spiking neurons |
Q47750204 | Multilabel classification with principal label space transformation. |
Q114926603 | Multilayer Perceptron Learning Optimized for On-Chip Implementation: A Noise-Robust System |
Q39545468 | Multilayer perceptron classification of unknown volatile chemicals from the firing rates of insect olfactory sensory neurons and its application to biosensor design. |
Q43118918 | Multilayer processing of spatiotemporal spike patterns in a neuron with active dendrites |
Q48564172 | Multinomial Bayesian learning for modeling classical and nonclassical receptive field properties. |
Q50874751 | Multiorder neurons for evolutionary higher-order clustering and growth. |
Q51949503 | Multiperiodicity and exponential attractivity evoked by periodic external inputs in delayed cellular neural networks. |
Q39266438 | Multiple Diffusion Models to Compare Saccadic and Manual Responses for Inhibition of Return |
Q92441352 | Multiple Timescale Online Learning Rules for Information Maximization with Energetic Constraints |
Q51902056 | Multiple almost periodic solutions in nonautonomous delayed neural networks. |
Q51956885 | Multiple model-based reinforcement learning. |
Q43405426 | Multiple spectral kernel learning and a gaussian complexity computation |
Q51096073 | Multiple tests based on a gaussian approximation of the unitary events method with delayed coincidence count. |
Q51886849 | Multiplicative gain modulation arises through unsupervised learning in a predictive coding model of cortical function. |
Q52119892 | Multiplicative synaptic normalization and a nonlinear Hebb rule underlie a neurotrophic model of competitive synaptic plasticity. |
Q43434410 | Multiplicative updates for nonnegative quadratic programming |
Q48353666 | Multisensory Bayesian Inference Depends on Synapse Maturation during Training: Theoretical Analysis and Neural Modeling Implementation. |
Q80023986 | Multispike interactions in a stochastic model of spike-timing-dependent plasticity |
Q47898140 | Multispikes and synchronization in a large neural network with temporal delays |
Q52021261 | Multistability analysis for recurrent neural networks with unsaturating piecewise linear transfer functions. |
Q48823292 | Multistability and perceptual inference. |
Q47839826 | Multistability in spiking neuron models of delayed recurrent inhibitory loops |
Q54154908 | Multistability of Delayed Recurrent Neural Networks with Mexican Hat Activation Functions. |
Q46131141 | Multiunit normalized cross correlation differs from the average single-unit normalized correlation |
Q38754221 | Multivariate Time Series Decomposition into Oscillation Components. |
Q48443817 | Multivariate information bottleneck. |
Q98469095 | Multiview Alignment and Generation in CCA via Consistent Latent Encoding |
Q28912373 | Multiview Bayesian Correlated Component Analysis |
Q38754209 | Multiview Feature Analysis via Structured Sparsity and Shared Subspace Discovery. |
Q39016836 | Multiway Array Decomposition of EEG Spectrum: Implications of Its Stability for the Exploration of Large-Scale Brain Networks |
Q47831843 | Muscle Synergy-Driven Robust Motion Control |
Q50758217 | Mutual Information, Fisher Information, and Efficient Coding. |
Q90124191 | Mutual Inhibition with Few Inhibitory Cells via Nonlinear Inhibitory Synaptic Interaction |
Q47661014 | Mutual information expansion for studying the role of correlations in population codes: how important are autocorrelations? |
Q77323451 | Mutual information, Fisher information, and population coding |
Q52082902 | N-tuple network, CART and bagging. |
Q103742074 | NMDA Receptor Alterations after Mild Traumatic Brain Injury Induce Deficits in Memory Acquisition and Recall |
Q78019995 | Narrow versus wide tuning curves: What's best for a population code? |
Q51676168 | Natural Gradient Works Efficiently in Learning |
Q52123459 | Natural discriminant analysis using interactive Potts models. |
Q50624664 | Natural gradient learning algorithms for RBF networks. |
Q52172912 | Natural gradient learning for over- and under-complete bases In ICA. |
Q48727784 | Near-saddle-node bifurcation behavior as dynamics in working memory for goal-directed behavior. |
Q48507632 | Nearly extensive sequential memory lifetime achieved by coupled nonlinear neurons. |
Q45965495 | Neighborhood property-based pattern selection for support vector machines. |
Q50443984 | Nested-Clique Network Model of Neural Associative Memory. |
Q52175623 | Network stability from activity-dependent regulation of neuronal conductances. |
Q39168126 | Neural Circuits Trained with Standard Reinforcement Learning Can Accumulate Probabilistic Information during Decision Making |
Q45945391 | Neural Decoding: A Predictive Viewpoint. |
Q57710732 | Neural Feature Abstraction from Judgments of Similarity |
Q38821388 | Neural Mechanism to Simulate a Scale-Invariant Future |
Q89758825 | Neural Model of Coding Stimulus Orientation and Adaptation |
Q95500208 | Neural Network Classifiers Estimate Bayesian a posteriori Probabilities |
Q50276128 | Neural Network Spectral Robustness under Perturbations of the Underlying Graph. |
Q56863783 | Neural Networks and the Bias/Variance Dilemma |
Q109772521 | Neural Networks with Disabilities: An Introduction to Complementary Artificial Intelligence |
Q48514104 | Neural Quadratic Discriminant Analysis: Nonlinear Decoding with V1-Like Computation. |
Q89078071 | Neural Simpletrons: Learning in the Limit of Few Labels with Directed Generative Networks |
Q51017146 | Neural associative memory with optimal Bayesian learning. |
Q34512227 | Neural coding: higher-order temporal patterns in the neurostatistics of cell assemblies. |
Q52290988 | Neural correlation via random connections. |
Q45818214 | Neural decoding with hierarchical generative models |
Q50673924 | Neural decoding with kernel-based metric learning. |
Q47778543 | Neural dynamics, bifurcations, and firing rates in a quadratic integrate-and-fire model with a recovery variable. I: Deterministic behavior |
Q49028145 | Neural field model of receptive field restructuring in primary visual cortex. |
Q48608363 | Neural information processing with feedback modulations. |
Q41869971 | Neural integrator: a sandpile model |
Q48897703 | Neural mass activity, bifurcations, and epilepsy. |
Q48550855 | Neural mechanisms for the robust representation of junctions. |
Q48930261 | Neural modeling of an internal clock. |
Q52299100 | Neural network for dynamic binding with graph representation: form, linking, and depth-from-occlusion. |
Q51899591 | Neural network models for conditional distribution under bayesian analysis. |
Q51649849 | Neural network models of perceptual learning of angle discrimination. |
Q40644767 | Neural network pruning with Tukey-Kramer multiple comparison procedure |
Q80845955 | Neural network uncertainty assessment using Bayesian statistics: a remote sensing application |
Q46210585 | Neural networks for functional approximation and system identification |
Q48455729 | Neural networks with dynamic synapses. |
Q52043105 | Neural networks with local receptive fields and superlinear VC dimension. |
Q41732312 | Neural processing in the subsecond time range in the temporal cortex |
Q51330055 | Neural relax. |
Q51638247 | Neural representation of probabilistic information. |
Q37667095 | Neural representation of spatial topology in the rodent hippocampus |
Q52075003 | Neural systems as nonlinear filters. |
Q48439027 | Neuronal algorithms that detect the temporal order of events. |
Q50731457 | Neuronal assembly dynamics in supervised and unsupervised learning scenarios. |
Q51704521 | Neuronal bases of perceptual learning revealed by a synaptic balance scheme. |
Q39284251 | Neuronal calcium wave propagation varies with changes in endoplasmic reticulum parameters: a computer model. |
Q42978594 | Neuronal population decoding explains the change in signal detection sensitivity caused by task-irrelevant perceptual bias |
Q28138934 | Neuronal regulation: A mechanism for synaptic pruning during brain maturation |
Q51615672 | Neuronal responses below firing threshold for subthreshold cross-modal enhancement. |
Q48719395 | Neuronal spike train entropy estimation by history clustering. |
Q78019991 | Neuronal tuning: To sharpen or broaden? |
Q52046759 | Neuronal-based synaptic compensation: a computational study in Alzheimer's disease. |
Q48930329 | Neurons tune to the earliest spikes through STDP. |
Q42512755 | Neurons with two sites of synaptic integration learn invariant representations |
Q44733453 | Neutral stability, rate propagation, and critical branching in feedforward networks. |
Q88350852 | New Families of Skewed Higher-Order Kernel Estimators to Solve the BSS/ICA Problem for Multimodal Sources Mixtures |
Q100745211 | New Insights into Learning with Correntropy-Based Regression |
Q73518718 | New conditions on global stability of Cohen-Grossberg neural networks |
Q48116473 | New supervised learning theory applied to cerebellar modeling for suppression of variability of saccade end points |
Q52076308 | New support vector algorithms |
Q52216286 | No free lunch for early stopping. |
Q41730806 | No free lunch for noise prediction |
Q58374481 | Noise Injection: Theoretical Prospects |
Q47912132 | Noise adaptation in integrate-and fire neurons |
Q48589762 | Noise facilitation in associative memories of exponential capacity. |
Q47901332 | Noise in integrate-and-fire neurons: from stochastic input to escape rates |
Q41138787 | Noise tolerance of attractor and feedforward memory models |
Q47668788 | Noise-Robust Modes of the Retinal Population Code Have the Geometry of "Ridges" and Correspond to Neuronal Communities |
Q47821721 | Noise-robust speech recognition through auditory feature detection and spike sequence decoding. |
Q44370951 | Nonconvergence in logistic and poisson models for neural spiking |
Q47327926 | Nonconvex Policy Search Using Variational Inequalities |
Q44804457 | Nondegenerate piecewise linear systems: a finite Newton algorithm and applications in machine learning |
Q94445423 | Nonequilibrium Statistical Mechanics of Continuous Attractors |
Q52075518 | Nonholonomic orthogonal learning algorithms for blind source separation. |
Q51496246 | Noninvertibility, chaotic coding, and chaotic multiplexity of synaptically modulated neural firing. |
Q29030435 | Nonlinear Component Analysis as a Kernel Eigenvalue Problem |
Q50647732 | Nonlinear Memory Capacity of Parallel Time-Delay Reservoir Computers in the Processing of Multidimensional Signals. |
Q57472001 | Nonlinear Modeling of Neural Interaction for Spike Prediction Using the Staged Point-Process Model |
Q32075931 | Nonlinear Time-Series Prediction with Missing and Noisy Data |
Q30349720 | Nonlinear and noisy extension of independent component analysis: theory and its application to a pitch sensation model. |
Q52079734 | Nonlinear autoassociation is not equivalent to PCA. |
Q36097315 | Nonlinear complex-valued extensions of Hebbian learning: an essay. |
Q30501510 | Nonlinear extraction of independent components of natural images using radial gaussianization |
Q51636725 | Nonlinear population codes. |
Q45994387 | Nonlinearities and adaptation of color vision from sequential principal curves analysis. |
Q42595279 | Nonlocal estimation of manifold structure |
Q52075523 | Nonmonotonic generalization bias of Gaussian mixture models. |
Q38640782 | Nonnegative Matrix Factorization with Rank Regularization and Hard Constraint. |
Q28293563 | Nonnegative matrix factorization with the Itakura-Saito divergence: with application to music analysis |
Q43427735 | Nonparametric conditional density estimation using piecewise-linear solution path of kernel quantile regression |
Q39391745 | Nonparametric e-Mixture Estimation |
Q51064641 | Nonparametric estimation of Küllback-Leibler divergence. |
Q51922405 | Nonparametric modeling of neural point processes via stochastic gradient boosting regression. |
Q46798867 | Norm-observable operator models |
Q47796300 | Normalization enables robust validation of disparity estimates from neural populations. |
Q52103895 | Note on "Comparison of model selection for regression" by Vladimir Cherkassky and Yunqian Ma. |
Q57830284 | Note on Free Lunches and Cross-Validation |
Q78722403 | Notes on Bell-Sejnowski PDF-matching neuron |
Q52642558 | Novel Perceptually Uniform Chromatic Space. |
Q52075527 | Observable operator models for discrete stochastic time series. |
Q51999931 | Odor-driven attractor dynamics in the antennal lobe allow for simple and rapid olfactory pattern classification. |
Q47394243 | Olfactory Recognition Based on EEG Gamma-Band Activity |
Q57472000 | Omitted Variable Bias in GLMs of Neural Spiking Activity |
Q52079705 | On 'natural' learning and pruning in multi-layered perceptrons. |
Q56443147 | On Convergence Properties of the EM Algorithm for Gaussian Mixtures |
Q48469583 | On Decoding Grid Cell Population Codes Using Approximate Belief Propagation. |
Q90124197 | On Functions Computed on Trees |
Q91189927 | On Kernel Method-Based Connectionist Models and Supervised Deep Learning Without Backpropagation |
Q114926564 | On Learning Perceptrons with Binary Weights |
Q114066577 | On PDE Characterization of Smooth Hierarchical Functions Computed by Neural Networks |
Q47601255 | On Rhythms in Neuronal Networks with Recurrent Excitation |
Q96293568 | On a Scalable Entropic Breaching of the Overfitting Barrier for Small Data Problems in Machine Learning |
Q74409470 | On a class of support vector kernels based on frames in function Hilbert spaces |
Q74281557 | On a fast, compact approximation of the exponential function |
Q47802267 | On a stochastic leaky integrate-and-fire neuronal model. |
Q114926562 | On an Unsupervised Learning Rule for Scalar Quantization following the Maximum Entropy Principle |
Q51064647 | On antiperiodic solutions for Cohen-Grossberg shunting inhibitory neural networks with time-varying delays and impulses. |
Q51801131 | On blind separability based on the temporal predictability method. |
Q52082914 | On connectedness: a solution based on oscillatory correlation. |
Q48947876 | On convergence conditions of an extended projection neural network. |
Q84866957 | On convergence rates of mixtures of polynomial experts |
Q30795285 | On criticality in high-dimensional data |
Q52216300 | On cross validation for model selection. |
Q48110571 | On decoding the responses of a population of neurons from short time windows |
Q35028483 | On different facets of regularization theory. |
Q47877383 | On embedding synfire chains in a balanced network |
Q51887694 | On exponential convergence conditions of an extended projection neural network. |
Q41557752 | On firing rate estimation for dependent interspike intervals |
Q51983584 | On learning vector-valued functions. |
Q41233241 | On neural circuits and cognition |
Q41302546 | On nonnegative matrix factorization algorithms for signal-dependent noise with application to electromyography data. |
Q41705443 | On numerical simulations of integrate-and-fire neural networks |
Q74623551 | On optimality in auditory information processing |
Q85363349 | On quadrature methods for refractory point process likelihoods |
Q50971768 | On resolving simultaneous congruences using belief propagation. |
Q47751158 | On some classes of sequential spiking neural p systems |
Q52066867 | On synchrony of weakly coupled neurons at low firing rate. |
Q50491171 | On the Analytical Solution of Firing Time for SpikeProp. |
Q95500180 | On the Characteristics of the Autoassociative Memory with Nonzero-Diagonal Terms in the Memory Matrix |
Q91508536 | On the Complexity of Logistic Regression Models |
Q95500109 | On the Convergence of the LMS Algorithm with Adaptive Learning Rate for Linear Feedforward Networks |
Q38970074 | On the Dynamical Interplay of Positive and Negative Affects |
Q109746469 | On the Effect of Analog Noise in Discrete-Time Analog Computations |
Q90718212 | On the Effect of the Activation Function on the Distribution of Hidden Nodes in a Deep Network |
Q114926591 | On the Information Storage Capacity of Local Learning Rules |
Q38808671 | On the Mathematical Consequences of Binning Spike Trains |
Q95500143 | On the Mechanisms Underlying Directional Selectivity |
Q91508544 | On the Organization of Grid and Place Cells: Neural Denoising via Subspace Learning |
Q35544475 | On the Partitioning Capabilities of Feedforward Neural Networks with Sigmoid Nodes |
Q52205226 | On the Practical Applicability of VC Dimension Bounds |
Q53557384 | On the Slow Convergence of EM and VBEM in Low-Noise Linear Models |
Q39006943 | On the Spike Train Variability Characterized by Variance-to-Mean Power Relationship |
Q57541284 | On the Use of Analytical Expressions for the Voltage Distribution to Analyze Intracellular Recordings |
Q48498286 | On the analysis and interpretation of inhomogeneous quadratic forms as receptive fields. |
Q52208742 | On the approximation rate of hierarchical mixtures-of-experts for generalized linear models. |
Q51704545 | On the asymptotic distribution of the least-squares estimators in unidentifiable models. |
Q51862956 | On the asymptotic equivalence between differential Hebbian and temporal difference learning. |
Q62492572 | On the capabilities of higher-order neurons: a radial basis function approach |
Q51899604 | On the classification capability of sign-constrained perceptrons. |
Q52047964 | On the complexity of computing and learning with multiplicative neural networks. |
Q51644003 | On the computational complexity of binary and analog symmetric hopfield nets |
Q47847477 | On the computational power of threshold circuits with sparse activity |
Q52070200 | On the computational power of winner-take-all. |
Q51905509 | On the consistency of Bayesian function approximation using step functions. |
Q40285252 | On the consistency of Bayesian variable selection for high dimensional binary regression and classification |
Q51935221 | On the consistency of the blocked neural network estimator in time series analysis. |
Q51181234 | On the continuous differentiability of inter-spike intervals of synaptically connected cortical spiking neurons in a neuronal network. |
Q52030739 | On the design of BSB neural associative memories using semidefinite programming. |
Q52205232 | On the distribution and convergence of feature space in self-organizing maps. |
Q51782274 | On the effects of signal acuity in a multi-alternative model of decision making. |
Q52034454 | On the emergence of rules in neural networks. |
Q51808518 | On the maximization of information flow between spiking neurons. |
Q51713295 | On the noise-enhancing ability of stochastic Hodgkin-Huxley neuron systems. |
Q51962630 | On the nonlearnability of a single spiking neuron. |
Q47794936 | On the performance of voltage stepping for the simulation of adaptive, nonlinear integrate-and-fire neuronal networks |
Q44802399 | On the phase reduction and response dynamics of neural oscillator populations |
Q49028120 | On the phase-space dynamics of systems of spiking neurons. I: model and experiments. |
Q34140623 | On the phase-space dynamics of systems of spiking neurons. II: formal analysis |
Q74614436 | On the problem in model selection of neural network regression in overrealizable scenario |
Q48642025 | On the relation between encoding and decoding of neuronal spikes. |
Q37932555 | On the relation of slow feature analysis and Laplacian eigenmaps |
Q48154009 | On the role of biophysical properties of cortical neurons in binding and segmentation of visual scenes |
Q51579004 | On the simulation of nonlinear bidimensional spiking neuron models. |
Q52082892 | On the synthesis of brain-state-in-a-box neural models with application to associative memory. |
Q80845953 | On the uniqueness of loopy belief propagation fixed points |
Q42951822 | On the use of dynamic Bayesian networks in reconstructing functional neuronal networks from spike train ensembles |
Q78678609 | On unique representations of certain dynamical systems produced by continuous-time recurrent neural networks |
Q52082896 | On-line EM algorithm for the normalized gaussian network. |
Q92497772 | One Step Back, Two Steps Forward: Interference and Learning in Recurrent Neural Networks |
Q51704510 | One-bit-matching conjecture for independent component analysis. |
Q51088284 | One-bit-matching theorem for ICA, convex-concave programming on polyhedral set, and distribution approximation for combinatorics. |
Q40751275 | Online Direct Density-Ratio Estimation Applied to Inlier-Based Outlier Detection |
Q47404104 | Online EM with weight-based forgetting |
Q89758816 | Online Learning Based on Online DCA and Application to Online Classification |
Q50532611 | Online Pairwise Learning Algorithms. |
Q50483045 | Online Reinforcement Learning Using a Probability Density Estimation. |
Q51993657 | Online adaptive decision trees. |
Q51937523 | Online adaptive decision trees: pattern classification and function approximation. |
Q52182568 | Online learning from finite training sets and robustness to input bias. |
Q45183331 | Online learning of single- and multivalued functions with an infinite mixture of linear experts. |
Q38070196 | Online learning with (multiple) kernels: a review |
Q51894061 | Online learning with hidden markov models. |
Q51576457 | Online ranking by projecting. |
Q51575108 | Online variational inference for state-space models with point-process observations. |
Q46165554 | Opening the black box: low-dimensional dynamics in high-dimensional recurrent neural networks |
Q39960039 | Operant matching as a Nash equilibrium of an intertemporal game |
Q47417362 | Optimal Curiosity-Driven Modular Incremental Slow Feature Analysis |
Q89289964 | Optimal Decoding of Dynamic Stimuli by Heterogeneous Populations of Spiking Neurons: A Closed-Form Approximation |
Q89758819 | Optimal Multivariate Tuning with Neuron-Level and Population-Level Energy Constraints |
Q52322421 | Optimal Readout of Correlated Neural Activity in a Decision-Making Circuit. |
Q91189930 | Optimal Sampling of Parametric Families: Implications for Machine Learning |
Q45949332 | Optimal Schedules in Multitask Motor Learning. |
Q57831401 | Optimal Tuning Widths in Population Coding of Periodic Variables |
Q81636073 | Optimal approximation of signal priors |
Q51919196 | Optimal coding predicts attentional modulation of activity in neural systems. |
Q42464772 | Optimal decision making on the basis of evidence represented in spike trains |
Q64887920 | Optimal detection of flash intensity differences using rod photocurrent observations. |
Q83959616 | Optimal neuronal tuning for finite stimulus spaces |
Q28266824 | Optimal population codes for space: grid cells outperform place cells |
Q51992633 | Optimal reduced-set vectors for support vector machines with a quadratic kernel. |
Q48782946 | Optimal sequential detection of stimuli from multiunit recordings taken in densely populated brain regions. |
Q78417261 | Optimal short-term population coding: when Fisher information fails |
Q81072540 | Optimal signal estimation in neuronal models |
Q40704617 | Optimal smoothing in visual motion perception |
Q48503620 | Optimal spike-timing-dependent plasticity for precise action potential firing in supervised learning. |
Q48706450 | Optimal, unsupervised learning in invariant object recognition. |
Q48199623 | Optimality and saturation in axonal chemotaxis. |
Q47301286 | Optimality model of unsupervised spike-timing-dependent plasticity: synaptic memory and weight distribution |
Q50582279 | Optimality of Upper-Arm Reaching Trajectories Based on the Expected Value of the Metabolic Energy Cost. |
Q46485702 | Optimization of decision making in multilayer networks: the role of locus coeruleus |
Q45967149 | Optimization of the kernel functions in a probabilistic neural network analyzing the local pattern distribution. |
Q46698341 | Optimization via intermittency with a self-organizing neural network |
Q51889249 | Optimizing one-shot learning with binary synapses. |
Q52307228 | Optimizing synaptic conductance calculation for network simulations. |
Q88133629 | Optimizing the Usability of Brain-Computer Interfaces |
Q48461937 | Optimizing the representation of orientation preference maps in visual cortex. |
Q51532038 | Optimizing time histograms for non-Poissonian spike trains. |
Q92376166 | Organization of Binocular Pathways: Modeling and Data Related to Rivalry |
Q39168117 | Orientation Histogram-Based Center-Surround Interaction: An Integration Approach for Contour Detection |
Q48557415 | Orientation disparity: a cue for 3D orientation? |
Q52018008 | Orientation tuning properties of simple cells in area V1 derived from an approximate analysis of nonlinear neural field models. |
Q52056972 | Orientation, scale, and discontinuity as emergent properties of illusory contour shape. |
Q40140187 | Orthogonal Connectivity Factorization: Interpretable Decomposition of Variability in Correlation Matrices |
Q43892740 | Orthogonal series density estimation and the kernel eigenvalue problem |
Q44789874 | Orthogonality of decision boundaries in complex-valued neural networks |
Q95500203 | Oscillating Networks: Control of Burst Duration by Electrically Coupled Neurons |
Q47831283 | Oscillations and spiking pairs: behavior of a neuronal model with STDP learning. |
Q86561227 | Oscillator-interference models of path integration do not require theta oscillations |
Q51957399 | Oscillatory networks: pattern recognition without a superposition catastrophe. |
Q48135018 | Oscillatory neural networks with self-organized segmentation of overlapping patterns |
Q48738794 | Oscillatory synchronization requires precise and balanced feedback inhibition in a model of the insect antennal lobe. |
Q40210403 | Outliers detection in multivariate time series by independent component analysis |
Q95500121 | Pacemaker-Induced Coherence in Cortical Networks |
Q48679231 | Paradigmatic working memory (attractor) cell in IT cortex. |
Q92376183 | Parallel Activation of Memories in an Oscillatory Neural Network |
Q51866418 | Parallel Hopfield networks. |
Q97597329 | Parallel Neural Multiprocessing with Gamma Frequency Latencies |
Q47978583 | Parameter Estimation of Nonlinear Systems by Dynamic Cuckoo Search |
Q35544472 | Parameter Estimation of Sigmoid Superpositions: Dynamical System Approach |
Q39128079 | Parameter Identifiability in Statistical Machine Learning: A Review |
Q95500169 | Parameter Sensitivity of the Elastic Net Approach to the Traveling Salesman Problem |
Q33543282 | Parameter convergence and learning curves for neural networks. |
Q45110072 | Parameter estimation for alpha-GMM based on maximum likelihood criterion |
Q52307223 | Parameter extraction from population codes: a critical assessment. |
Q48116461 | Parameter learning for alpha integration |
Q51116296 | Parameter space structure of continuous-time recurrent neural networks. |
Q51896827 | Parameters of spike trains observed in a short time window. |
Q43619254 | Parameters of the diffusion leaky integrate-and-fire neuronal model for a slowly fluctuating signal. |
Q51909889 | Parametric embedding for class visualization. |
Q30746132 | Parametric inference in the large data limit using maximally informative models |
Q48952309 | ParceLiNGAM: a causal ordering method robust against latent confounders. |
Q92376194 | Parsing Complex Sentences with Structured Connectionist Networks |
Q52045005 | Partial BFGS update and efficient step-length calculation for three-layer neural networks. |
Q28255339 | Partial orders of similarity differences invariant between EEG-recorded brain and perceptual representations of language |
Q100745203 | Passive Nonlinear Dendritic Interactions as a Computational Resource in Spiking Neural Networks |
Q50614706 | Pattern Completion in Symmetric Threshold-Linear Networks. |
Q47603761 | Pattern Filtering for Detection of Neural Activity, with Examples from HVc Activity During Sleep in Zebra Finches |
Q51556542 | Pattern Storage, Bifurcations, and Groupwise Correlation Structure of an Exactly Solvable Asymmetric Neural Network Model. |
Q52240166 | Pattern generation by two coupled time-discrete neural networks with synaptic depression. |
Q48797253 | Patterns of Functional Damage in Neural Network Models of Associative Memory |
Q47893446 | Patterns of synchrony in neural networks with spike adaptation |
Q50785533 | Pavlov's dog associative learning demonstrated on synaptic-like organic transistors. |
Q51944641 | Payoff-monotonic game dynamics and the maximum clique problem. |
Q51916926 | Penalized probabilistic clustering. |
Q47392785 | Per-Round Knapsack-Constrained Linear Submodular Bandits |
Q51370300 | Perfect fault tolerance of the n-k-n network. |
Q90425724 | Performance Limitations in Sensorimotor Control: Trade-Offs between Neural Computation and Accuracy in Tracking Fast Movements |
Q47890278 | Period focusing induced by network feedback in populations of noisy integrate-and-fire neurons. |
Q38599222 | Periodic Forcing of Inhibition-Stabilized Networks: Nonlinear Resonances and Phase-Amplitude Coupling |
Q48372974 | Permitted and forbidden sets in symmetric threshold-linear networks. |
Q48620825 | Persistent neural states: stationary localized activity patterns in nonlinear continuous n-population, q-dimensional neural networks. |
Q47810333 | Phase locking below rate threshold in noisy model neurons |
Q51898313 | Phase precession through synaptic facilitation. |
Q47837102 | Phase transition and hysteresis in an ensemble of stochastic spiking neurons |
Q44695514 | Physiological gain leads to high ISI variability in a simple model of a cortical regular spiking cell |
Q33258344 | Piecewise-linear neural networks and their relationship to rule extraction from data |
Q48455758 | Plasticity-induced symmetry relationships between adjacent self-organizing topographic maps. |
Q44696891 | Point-process principal components analysis via geometric optimization |
Q34479648 | Polychronization: computation with spikes |
Q97597326 | Polynomial-Time Algorithms for Multiple-Arm Identification with Full-Bandit Feedback |
Q50435382 | Population Vectors Can Provide Near Optimal Integration of Information. |
Q28215675 | Population coding and decoding in a neural field: a computational study |
Q43559902 | Population coding and the labeling problem: extrinsic versus intrinsic representations |
Q48948623 | Population coding with correlation and an unfaithful model. |
Q51899610 | Population coding with motion energy filters: the impact of correlations. |
Q51641587 | Population computation of vectorial transformations. |
Q47901362 | Population dynamics of spiking neurons: fast transients, asynchronous states, and locking |
Q47810321 | Population models of temporal differentiation |
Q46875347 | Populations of tightly coupled neurons: the RGC/LGN system |
Q86546317 | Positive Neural Networks in Discrete Time Implement Monotone-Regular Behaviors |
Q73210692 | Possible roles of spontaneous waves and dendritic growth for retinal receptive field development |
Q48334061 | Posterior weighted reinforcement learning with state uncertainty. |
Q52082913 | Practical identifiability of finite mixtures of multivariate bernoulli distributions. |
Q51782269 | Precise capacity analysis in binary networks with multiple coding level inputs. |
Q40680026 | Predictability, complexity, and learning |
Q51986984 | Predicting axonal response to molecular gradients with a computational model of filopodial dynamics. |
Q39191401 | Predicting single-neuron activity in locally connected networks |
Q104747893 | Predicting the Ease of Human Category Learning Using Radial Basis Function Networks |
Q53255680 | Predicting the Existence and Stability of Phase-Locked Mode in Neural Networks Using Generalized Phase-Resetting Curve. |
Q95500271 | Predicting the Future: Advantages of Semilocal Units |
Q30471835 | Predicting the distribution of synaptic strengths and cell firing correlations in a self-organizing, sequence prediction model |
Q41690996 | Prediction games and arcing algorithms |
Q48875006 | Predictions of the spontaneous symmetry-breaking theory for visual code completeness and spatial scaling in single-cell learning rules. |
Q47415972 | Predictive Coding for Dynamic Visual Processing: Development of Functional Hierarchy in a Multiple Spatiotemporal Scales RNN Model |
Q55262774 | Predictive Coding in Area V4: Dynamic Shape Discrimination under Partial Occlusion. |
Q73895767 | Predictive approaches for choosing hyperparameters in gaussian processes |
Q40143327 | Predictive coding and the slowness principle: an information-theoretic approach |
Q52307221 | Predictive minimum description length criterion for time series modeling with neural networks. |
Q52187107 | Predictive neural networks for learning the time course of blood glucose levels from the complex interaction of counterregulatory hormones. |
Q48507811 | Preintegration lateral inhibition enhances unsupervised learning. |
Q54057485 | Presynaptic Spontaneous Activity Enhances the Accuracy of Latency Coding. |
Q35098678 | Prewhitening high-dimensional FMRI data sets without eigendecomposition. |
Q52086771 | Principal components analysis competitive learning. |
Q51558367 | Principles and typical computational limitations of sparse speaker separation based on deterministic speech features. |
Q41444163 | Probabilistic Independence Networks for Hidden Markov Probability Models |
Q114926540 | Probabilistic Winner-Take-All Learning Algorithm for Radial-Basis-Function Neural Classifiers |
Q41705425 | Probabilistic interpretation of population codes |
Q52074999 | Probabilistic motion estimation based on temporal coherence. |
Q48288587 | Probabilistic synaptic transmission in the associative net. |
Q52235852 | Probability Density Estimation Using Entropy Maximization. |
Q48414419 | Probability density methods for smooth function approximation and learning in populations of tuned spiking neurons. |
Q33626859 | Probability of repeating patterns in simultaneous neural data |
Q79747198 | Probability of stimulus detection in a model population of rapidly adapting fibers |
Q48188419 | Probing Changes in Neural Interaction During Adaptation |
Q52041537 | Products of gaussians and probabilistic minor component analysis. |
Q47848214 | Programmable logic construction kits for hyper-real-time neuronal modeling |
Q28241958 | Projected gradient methods for nonnegative matrix factorization |
Q46713667 | Projective clustering using neural networks with adaptive delay and signal transmission loss |
Q52224777 | Propagating distributions up directed acyclic graphs. |
Q52242235 | Properties of support vector machines. |
Q52009960 | Properties of synergies arising from a theory of optimal motor behavior. |
Q44715373 | Prototype classification: insights from machine learning |
Q124301760 | Pruning from Adaptive Regularization |
Q52216288 | Pruning using parameter and neuronal metrics. |
Q111519281 | Pruning with Replacement on Limited Resource Allocating Networks by F-Projections |
Q85061534 | Psychophysically tuned divisive normalization approximately factorizes the PDF of natural images |
Q93062145 | Quantifying Information Conveyed by Large Neuronal Populations |
Q47268853 | Quantifying Strength of Chaos in the Population Firing Rate of Neurons |
Q51615692 | Quantifying neurotransmission reliability through metrics-based information analysis. |
Q51802697 | Quantifying statistical interdependence by message passing on graphs-part I: one-dimensional point processes. |
Q51834615 | Quantifying statistical interdependence by message passing on graphs-part II: multidimensional point processes. |
Q51496291 | Quantifying statistical interdependence, part III: N > 2 point processes. |
Q36097310 | Quantifying stimulus discriminability: a comparison of information theory and ideal observer analysis |
Q52341888 | Quantitative analysis of electrotonic structure and membrane properties of NMDA-activated lamprey spinal neurons. |
Q48751379 | ROC-based estimates of neural-behavioral covariations using matched filters. |
Q51576453 | RSPOP: rough set-based pseudo outer-product fuzzy rule identification algorithm. |
Q74512045 | RST: a connectionist architecture to deal with spatiotemporal relationships |
Q51665656 | Rademacher chaos complexities for learning the kernel problem. |
Q51807787 | Radius margin bounds for support vector machines with the RBF kernel. |
Q52128252 | Random embedding machines for pattern recognition. |
Q47905026 | Random neural networks with multiple classes of signals |
Q47796286 | Random neural networks with synchronized interactions |
Q48290073 | Randomized shortest-path problems: two related models. |
Q45197548 | Randomly connected networks have short temporal memory |
Q41557743 | Range-based ICA using a nonsmooth quasi-newton optimizer for electroencephalographic source localization in focal epilepsy |
Q38754225 | Rank Selection in Nonnegative Matrix Factorization using Minimum Description Length |
Q47326904 | Rank-Optimized Logistic Matrix Regression toward Improved Matrix Data Classification |
Q51887697 | Rapid convergence to feature layer correspondences. |
Q48556150 | Rapid processing and unsupervised learning in a model of the cortical macrocolumn. |
Q40521508 | Rapid temporal modulation of synchrony by competition in cortical interneuron networks |
Q48166131 | Rat Prefrontal Cortex Inactivations during Decision Making Are Explained by Bistable Attractor Dynamics. |
Q41194380 | Rate and synchrony in feedforward networks of coincidence detectors: analytical solution |
Q43626529 | Rate coding versus temporal order coding: what the retinal ganglion cells tell the visual cortex |
Q74281574 | Rate limitations of unitary event analysis |
Q48188455 | Rate models for conductance-based cortical neuronal networks |
Q99569101 | ReLU Networks Are Universal Approximators via Piecewise Linear or Constant Functions |
Q48455734 | Reading neuronal synchrony with depressing synapses. |
Q109688074 | Real-Time Decoding of Attentional States Using Closed-Loop EEG Neurofeedback |
Q51636596 | Real-time computation at the edge of chaos in recurrent neural networks. |
Q28214969 | Real-time computing without stable states: a new framework for neural computation based on perturbations |
Q48317792 | Realistically coupled neural mass models can generate EEG rhythms. |
Q37898141 | Reappraisal of the somatosensory homunculus and its discontinuities |
Q48392189 | Receptive Field Formation in Natural Scene Environments. Comparison of Single-Cell Learning Rules. |
Q48557361 | Receptive field self-organization in a model of the fine structure in v1 cortical columns. |
Q48647673 | Receptive field structures for recognition. |
Q51644013 | Reclassification as supervised clustering. |
Q46706075 | Recoding patterns of sensory input: higher-order features and the function of nonlinear dendritic trees |
Q90316135 | Recognition Dynamics in the Brain under the Free Energy Principle |
Q47849416 | Recognition by variance: learning rules for spatiotemporal patterns. |
Q95500139 | Recognizing Hand-Printed Letters and Digits Using Backpropagation Learning |
Q51700558 | Reconciling the STDP and BCM models of synaptic plasticity in a spiking recurrent neural network. |
Q51612014 | Recording from two neurons: second-order stimulus reconstruction from spike trains and population coding. |
Q52018003 | Recurrence methods in the analysis of learning processes. |
Q48032981 | Recurrent Information Optimization with Local, Metaplastic Synaptic Dynamics |
Q95500130 | Recurrent Network Model of the Neural Mechanism of Short-Term Active Memory |
Q50862311 | Recurrent Neural Network Approach Based on the Integral Representation of the Drazin Inverse. |
Q50710279 | Recurrent Neural Network for Computing Outer Inverse. |
Q114066573 | Recurrent Neural-Linear Posterior Sampling for Nonstationary Contextual Bandits |
Q48353567 | Recurrent cerebellar loops simplify adaptive control of redundant and nonlinear motor systems. |
Q48876261 | Recurrent infomax generates cell assemblies, neuronal avalanches, and simple cell-like selectivity. |
Q43784190 | Recurrent kernel machines: computing with infinite echo state networks |
Q51993660 | Recurrent network with large representational capacity. |
Q33543276 | Recurrent sampling models for the Helmholtz machine |
Q52043109 | Redistribution of synaptic efficacy supports stable pattern learning in neural networks. |
Q47844958 | Reducing the variability of neural responses: a computational theory of spike-timing-dependent plasticity |
Q50592011 | Reduction from cost-sensitive ordinal ranking to weighted binary classification. |
Q42485443 | Reduction of Trial-to-Trial Perceptual Variability by Intracortical Tonic Inhibition |
Q114926575 | Redundancy Reduction as a Strategy for Unsupervised Learning |
Q34916554 | Redundancy, self-motion, and motor control |
Q100745206 | Redundancy-Aware Pruning of Convolutional Neural Networks |
Q50594021 | Refined Generalization Bounds of Gradient Learning over Reproducing Kernel Hilbert Spaces. |
Q45945388 | Refined Spectral Clustering via Embedded Label Propagation. |
Q50692253 | Refined rademacher chaos complexity bounds with applications to the multikernel learning problem. |
Q47323275 | Refinements of universal approximation results for deep belief networks and restricted Boltzmann machines. |
Q56169175 | Regularization Theory and Neural Networks Architectures |
Q33516154 | Regularization techniques and suboptimal solutions to optimization problems in learning from data |
Q50513557 | Regularized Multitask Learning for Multidimensional Log-Density Gradient Estimation. |
Q52205228 | Regularized Neural Networks: Some Convergence Rate Results |
Q42259410 | Regularized parameter estimation in high-dimensional gaussian mixture models |
Q50978335 | Regularized variational Bayesian learning of echo state networks with delay&sum readout. |
Q50596062 | Regulation of Local Ambient GABA Levels via Transporter-Mediated GABA Import and Export for Subliminal Learning. |
Q51330052 | Regulation of ambient GABA levels by neuron-glia signaling for reliable perception of multisensory events. |
Q90718176 | Reinforcement Learning in Spiking Neural Networks with Stochastic and Deterministic Synapses |
Q52082903 | Reinforcement learning in continuous time and space. |
Q39348104 | Reinforcement learning of two-joint virtual arm reaching in a computer model of sensorimotor cortex. |
Q48273908 | Reinforcement learning state estimator. |
Q47841509 | Reinforcement learning through modulation of spike-timing-dependent synaptic plasticity. |
Q34637929 | Reinforcement learning, spike-time-dependent plasticity, and the BCM rule |
Q48681581 | Reinforcement-based decision making in corticostriatal circuits: mutual constraints by neurocomputational and diffusion models. |
Q34207271 | Relating STDP to BCM. |
Q49161541 | Relating macroscopic measures of brain activity to fast, dynamic neuronal interactions. |
Q48288538 | Relation between retinotopical and orientation maps in visual cortex. |
Q40751270 | Relations Among Some Low-Rank Subspace Recovery Models |
Q51645657 | Relationship between phase and energy methods for disparity computation. |
Q52075534 | Relationships between the A priori and A posteriori errors in nonlinear adaptive neural filters. |
Q44657040 | Relative density-ratio estimation for robust distribution comparison |
Q30878813 | Reliability of information-based integration of EEG and fMRI data: a simulation study. |
Q47880435 | Reliability of spike timing is a general property of spiking model neurons |
Q95500145 | Removing Time Variation with the Anti-Hebbian Differential Synapse |
Q99569109 | Repetitive Control for Multi-Joint Arm Movements Based on Virtual Trajectories |
Q90718216 | Replicating Neuroscience Observations on ML/MF and AM Face Patches by Deep Generative Model |
Q47774666 | Replicating receptive fields of simple and complex cells in primary visual cortex in a neuronal network model with temporal and population sparseness and reliability |
Q52135457 | Replicator equations, maximal cliques, and graph isomorphism. |
Q48507850 | Reply to Carreira-Perpiñán and Goodhill. Are visual cortex maps optimized for coverage? |
Q51637077 | Reply to the comments on "Local Overfitting Control via Leverages" in "Jacobian Conditioning Analysis for Model Validation" by I. Rivals and L. Personnaz. |
Q52038020 | Representation and extrapolation in multilayer perceptrons. |
Q40317703 | Representation and timing in theories of the dopamine system |
Q52023864 | Representation of concept lattices by bidirectional associative memories. |
Q52347792 | Representation of similarity in three-dimensional object discrimination. |
Q40284494 | Representation sharpening can explain perceptual priming |
Q64922521 | Representational accuracy of stochastic neural populations. |
Q51894054 | Representational power of restricted boltzmann machines and deep belief networks. |
Q51909895 | Representations of space and time in the maximization of information flow in the perception-action loop. |
Q45959317 | Representing objects, relations, and sequences. |
Q77052661 | Resampling method for unsupervised estimation of cluster validity |
Q100745207 | Resonator Networks, 1: An Efficient Solution for Factoring High-Dimensional, Distributed Representations of Data Structures |
Q100745205 | Resonator Networks, 2: Factorization Performance and Capacity Compared to Optimization-Based Methods |
Q71720274 | Response characteristics of a low-dimensional model neuron |
Q47807857 | Response of integrate-and-fire neurons to noisy inputs filtered by synapses with arbitrary timescales: firing rate and correlations |
Q30501711 | Response properties of an integrate-and-fire model that receives subthreshold inputs. |
Q47854840 | Response variability in balanced cortical networks |
Q51992110 | Retrieval dynamics in oscillator neural networks. |
Q52027609 | Retrieval properties of a Hopfield model with random asymmetric interactions. |
Q99569099 | Reverse-Engineering Neural Networks to Characterize Their Cost Functions |
Q51605700 | Revisiting tests for neglected nonlinearity using artificial neural networks. |
Q123008069 | Reward Maximization Through Discrete Active Inference |
Q48315703 | Reward-modulated Hebbian learning of decision making. |
Q51539172 | Reward-weighted regression with sample reuse for direct policy search in reinforcement learning. |
Q51473113 | Rewiring-induced chaos in pulse-coupled neural networks. |
Q40398861 | Rhythmic Inhibition Allows Neural Networks to Search for Maximally Consistent States |
Q46116790 | Risk-aware control |
Q50672224 | Risk-sensitive reinforcement learning. |
Q38836887 | Robust Averaging of Covariances for EEG Recordings Classification in Motor Imagery Brain-Computer Interfaces |
Q60108784 | Robust Closed-Loop Control of a Cursor in a Person with Tetraplegia using Gaussian Process Regression |
Q39948305 | Robust Clustering Method in the Presence of Scattered Observations |
Q110035735 | Robust Formulations for Training Multilayer Perceptrons |
Q51899599 | Robust L1 principal component analysis and its Bayesian variational inference. |
Q88350849 | Robust MST-Based Clustering Algorithm |
Q47673637 | Robust Modulation of Integrate-and-Fire Models. |
Q103742082 | Robust Stability Analysis of Delayed Stochastic Neural Networks via Wirtinger-Based Integral Inequality |
Q39802161 | Robust Support Vector Machines for Classification with Nonconvex and Smooth Losses. |
Q52034615 | Robust blind source separation by beta divergence. |
Q51896823 | Robust boosting algorithm against mislabeling in multiclass problems. |
Q45397391 | Robust common spatial filters with a max-min approach |
Q51642576 | Robust full Bayesian learning for radial basis networks. |
Q44795351 | Robust kernel principal component analysis |
Q51912448 | Robust loss functions for boosting. |
Q48786857 | Robust observer-based tracking control of hodgkin-huxley neuron systems under environmental disturbances. |
Q48616916 | Robust regression with asymmetric heavy-tail noise distributions. |
Q49034403 | Robust reinforcement learning. |
Q46288980 | Robust subspace discovery via relaxed rank minimization |
Q52001342 | Robustifying AdaBoost by adding the naive error rate. |
Q48196754 | Robustness of connectionist swimming controllers against random variation in neural connections |
Q42457491 | Role of homeostasis in learning sparse representations |
Q51726641 | Roles of inhibitory neurons in rewiring-induced synchronization in pulse-coupled neural networks. |
Q102362762 | Rule Extraction from Recurrent Neural Networks: ATaxonomy and Review |
Q92376199 | Rules and Variables in Neural Nets |
Q46262709 | SEEMORE: combining color, shape, and texture histogramming in a neurally inspired approach to visual object recognition |
Q52074438 | SMEM algorithm for mixture models. |
Q74135479 | SMEM algorithm is not fully compatible with maximum-likelihood framework |
Q52022339 | SMO algorithm for least-squares SVM formulations. |
Q50854603 | STDP provides the substrate for igniting synfire chains by spatiotemporal input patterns. |
Q48008151 | STDP-Compatible Approximation of Backpropagation in an Energy-Based Model |
Q50560902 | STICK: Spike Time Interval Computational Kernel, a Framework for General Purpose Computation Using Neurons, Precise Timing, Delays, and Synchrony. |
Q50996971 | SVDD-based pattern denoising. |
Q90718188 | Safe Triplet Screening for Distance Metric Learning |
Q94546366 | Salient Slices: Improved Neural Network Training and Performance with Image Entropy |
Q33873908 | Sample skewness as a statistical measurement of neuronal tuning sharpness |
Q31047556 | Sampled-Data State Feedback Stabilization of Boolean Control Networks |
Q34187782 | Sampling properties of the spectrum and coherency of sequences of action potentials |
Q39652007 | Scalable Semisupervised Functional Neurocartography Reveals Canonical Neurons in Behavioral Networks |
Q91053155 | Scalable and Flexible Unsupervised Feature Selection |
Q39612909 | Scalable hybrid computation with spikes |
Q91960266 | Scaled Coupled Norms and Coupled Higher-Order Tensor Completion |
Q43779951 | Scaling laws of associative memory retrieval. |
Q51623919 | Searching for memories, Sudoku, implicit check bits, and the iterative use of not-always-correct rapid neural computation. |
Q51899602 | Second-order SMO improves SVM online and active learning. |
Q45965643 | Second-order cone programming formulations for robust multiclass classification. |
Q52079728 | Second-order learning algorithm with squared penalty term. |
Q52208430 | Seeing white: Qualia in the context of decoding population codes. |
Q95500267 | Segmentation, Binding, and Illusory Conjunctions |
Q30884495 | Selecting informative data for developing peptide-MHC binding predictors using a query by committee approach. |
Q52284443 | Selecting optimal experiments for multiple output multilayer perceptrons. |
Q88596316 | Selective Interareal Synchronization through Gamma Frequency Differences and Slower-Rhythm Gamma Phase Reset |
Q48483696 | Selective population rate coding: a possible computational role of gamma oscillations in selective attention. |
Q39635749 | Selectively grouping neurons in recurrent networks of lateral inhibition |
Q48158861 | Selectivity and stability via dendritic nonlinearity |
Q52325999 | Self-Organization as an Iterative Kernel Smoothing Process |
Q48380276 | Self-consistent learning of the environment. |
Q52079731 | Self-organisation of symmetry networks: transformation invariance from the spontaneous symmetry-breaking mechanism. |
Q42519833 | Self-organization in the basal ganglia with modulation of reinforcement signals |
Q50749958 | Self-organization of control circuits for invariant fiber projections. |
Q48751026 | Self-organization of firing activities in monkey's motor cortex: trajectory computation from spike signals. |
Q50995923 | Self-organization of topographic bilinear networks for invariant recognition. |
Q48684601 | Self-organization of topographic mixture networks using attentional feedback. |
Q51704518 | Self-organizing dual coding based on spike-time-dependent plasticity. |
Q51909890 | Self-organizing maps with asymmetric neighborhood function. |
Q48423958 | Self-regulation mechanism of temporally asymmetric Hebbian plasticity. |
Q50755341 | Semistability of steepest descent with momentum for quadratic functions. |
Q92441356 | Semisupervised Deep Stacking Network with Adaptive Learning Rate Strategy for Motor Imagery EEG Recognition |
Q31155048 | Semisupervised, Multilabel, Multi-Instance Learning for Structured Data |
Q51891140 | Sensitivity derivatives for flexible sensorimotor learning. |
Q92118207 | Sensitivity to Stimulus Irregularity Is Inherent in Neural Networks |
Q38733931 | Sensory Metrics of Neuromechanical Trust |
Q51986277 | Sensory memory for odors is encoded in spontaneous correlated activity between olfactory glomeruli. |
Q36828334 | Separating Spike Count Correlation from Firing Rate Correlation |
Q52075536 | Separating style and content with bilinear models. |
Q44685468 | Sequence Classification Using Third-Order Moments |
Q92376155 | Sequence Manipulation Using Parallel Mapping Networks |
Q47742903 | Sequence memory based on coherent spin-interaction neural networks |
Q48282683 | Sequential Bayesian decoding with a population of neurons. |
Q47179069 | Sequential Monte Carlo point-process estimation of kinematics from neural spiking activity for brain-machine interfaces |
Q40282916 | Sequential Tests for Large-Scale Learning |
Q48751269 | Sequential activity in asymmetrically coupled winner-take-all circuits. |
Q42141545 | Sequential effects in two-choice reaction time tasks: decomposition and synthesis of mechanisms |
Q51898311 | Sequential fixed-point ICA based on mutual information minimization. |
Q52119255 | Sequential monte carlo methods To train neural network models |
Q46042088 | Sequential optimal design of neurophysiology experiments |
Q48281451 | Sequential triangle strip generator based on Hopfield networks. |
Q56502473 | Shape Quantization and Recognition with Randomized Trees |
Q95324759 | Shapley Homology: Topological Analysis of Sample Influence for Neural Networks |
Q42664781 | Shared and specific independent components analysis for between-group comparison |
Q50673926 | Short-term memory capacity in networks via the restricted isometry property. |
Q52204537 | Short-term synaptic plasticity and network behavior. |
Q48427189 | Short-term synaptic plasticity can enhance weak signal detectability in nonrenewal spike trains. |
Q34429245 | Shunting inhibition does not have a divisive effect on firing rates |
Q51110174 | Signal-tuned Gabor functions as models for stimulus-dependent cortical receptive fields. |
Q41479042 | Similarity, connectionism, and the problem of representation in vision |
Q50961572 | Simple deterministically constructed cycle reservoirs with regular jumps. |
Q47343572 | Simple modification of Oja rule limits L1-norm of weight vector and leads to sparse connectivity |
Q48116450 | Simple neural-like p systems for maximal independent set selection |
Q43470790 | Simple recurrent networks learn context-free and context-sensitive languages by counting |
Q48372965 | Simple-cell-like receptive fields maximize temporal coherence in natural video. |
Q47816697 | Simplicity and efficiency of integrate-and-fire neuron models |
Q39457709 | Simulation Neurotechnologies for Advancing Brain Research: Parallelizing Large Networks in NEURON. |
Q95500154 | Simulations of a Reconstructed Cerebellar Purkinje Cell Based on Simplified Channel Kinetics |
Q38640763 | Simultaneous Estimation of Nongaussian Components and Their Correlation Structure |
Q51889253 | Simultaneous approximations of polynomials and derivatives and their applications to neural networks. |
Q50748673 | Simultaneous multichannel signal transfers via chaos in a recurrent neural network. |
Q51958198 | Simultaneous rate-synchrony codes in populations of spiking neurons. |
Q51624823 | Single neuron computation: from dynamical system to feature detector. |
Q48952297 | Single-snippet analysis for detection of postspike effects. |
Q52290982 | Singular perturbation analysis of competitive neural networks with different time scales. |
Q48593967 | Singularities affect dynamics of learning in neuromanifolds. |
Q48751074 | Singularities in primate orientation maps. |
Q52235875 | Site-selective autophosphorylation of Ca2+/calmodulin-dependent protein kinase II as a synaptic encoding mechanism. |
Q44889559 | Sleeping our way to weight normalization and stable learning |
Q52100603 | Slow feature analysis: a theoretical analysis of optimal free responses. |
Q52958217 | Slow feature analysis: unsupervised learning of invariances. |
Q88133655 | Slowness as a Proxy for Temporal Predictability: An Empirical Comparison |
Q114926549 | Smooth On-Line Learning Algorithms for Hidden Markov Models |
Q48640764 | Smooth gradient representations as a unifying account of Chevreul's illusion, Mach bands, and a variant of the Ehrenstein disk. |
Q52013851 | Soft learning vector quantization. |
Q41885158 | Soft mixer assignment in a hierarchical generative model of natural scene statistics |
Q47911293 | Solitary waves of integrate-and-fire neural fields |
Q51902063 | Solution methods for a new class of simple model neurons. |
Q51556530 | Solving Constraint-Satisfaction Problems with Distributed Neocortical-Like Neuronal Networks. |
Q50461231 | Solving Nonlinearly Separable Classifications in a Single-Layer Neural Network. |
Q50955497 | Solving stereo transparency with an extended coarse-to-fine disparity energy model. |
Q50763728 | Solving the distal reward problem with rare correlations. |
Q51894057 | Solving the problem of negative synaptic weights in cortical models. |
Q51971019 | Some generalized sufficient convergence criteria for nonlinear continuous neural networks. |
Q45163544 | Some remarks on "almost periodic dynamics of a class of delayed neural networks with discontinuous activations". |
Q36681162 | Some sampling properties of common phase estimators |
Q52205230 | Sorting with Self-Organizing Maps |
Q84457319 | Sound retrieval and ranking using sparse auditory representations |
Q92441343 | Sparse Associative Memory |
Q47668780 | Sparse Covariance Matrix Estimation by DCA-Based Algorithms |
Q56214492 | Sparse On-Line Gaussian Processes |
Q30581727 | Sparse code shrinkage: denoising of nongaussian data by maximum likelihood estimation |
Q47576176 | Sparse coding on the spot: spontaneous retinal waves suffice for orientation selectivity. |
Q47748197 | Sparse coding via thresholding and local competition in neural circuits |
Q51079757 | Sparseness, antisparseness and anything in between: the operating point of a neuron determines its computational repertoire. |
Q48392198 | Spatial decorrelation in orientation-selective cortical cells. |
Q42473078 | Spatiochromatic receptive field properties derived from information-theoretic analyses of cone mosaic responses to natural scenes |
Q47905054 | Spatiotemporal coding in the cortex: information flow-based learning in spiking neural networks |
Q35687856 | Spatiotemporal conditional inference and hypothesis tests for neural ensemble spiking precision |
Q48317814 | Spatiotemporal conversion of auditory information for cochleotopic mapping. |
Q48571201 | Spatiotemporal spike encoding of a continuous external signal. |
Q48447782 | Spatiotemporal structure in large neuronal networks detected from cross-correlation. |
Q52051736 | Specification of training sets and the number of hidden neurons for multilayer perceptrons. |
Q51894056 | Spectral algorithms for supervised learning. |
Q51711245 | Spectral method and high-order finite differences for the nonlinear cable equation. |
Q43539987 | Speech emotional features extraction based on electroglottograph. |
Q51807784 | Speeding Up Backpropagation Using Multiobjective Evolutionary Algorithms |
Q44426786 | Spherical mesh adaptive direct search for separating quasi-uncorrelated sources by range-based independent component analysis |
Q56226040 | Spike Timing Precision and Neural Error Correction: Local Behavior |
Q48413768 | Spike count correlation increases with length of time interval in the presence of trial-to-trial variation. |
Q74512041 | Spike frequency adaptation affects the synchronization properties of networks of cortical oscillations |
Q30868412 | Spike train SIMilarity Space (SSIMS): a framework for single neuron and ensemble data analysis |
Q42775795 | Spike train decoding without spike sorting |
Q41823731 | Spike train probability models for stimulus-driven leaky integrate-and-fire neurons |
Q47915949 | Spike train processing by a silicon neuromorph: the role of sublinear summation in dendrites |
Q47816684 | Spike train statistics and dynamics with synaptic input from any renewal process: a population density approach |
Q90718196 | Spike-Based Winner-Take-All Computation: Fundamental Limits and Order-Optimal Circuits |
Q48008191 | Spike-Centered Jitter Can Mistake Temporal Structure |
Q51219767 | Spike-based probabilistic inference in analog graphical models using interspike-interval coding. |
Q33186267 | Spike-driven synaptic dynamics generating working memory states. |
Q52023867 | Spike-driven synaptic plasticity: theory, simulation, VLSI implementation. |
Q47837112 | Spike-frequency adapting neural ensembles: beyond mean adaptation and renewal theories |
Q47816667 | Spike-timing error backpropagation in theta neuron networks |
Q48779474 | Spike-timing-dependent Hebbian plasticity as temporal difference learning. |
Q39376339 | Spike-timing-dependent construction |
Q34207266 | Spike-timing-dependent plasticity and relevant mutual information maximization |
Q83861088 | Spike-timing-dependent plasticity and reliability optimization: the role of neuron dynamics |
Q48196765 | Spike-timing-dependent plasticity in balanced random networks |
Q47423448 | Spike-timing-dependent plasticity: the relationship to rate-based learning for models with weight dynamics determined by a stable fixed point. |
Q48493311 | Spikernels: predicting arm movements by embedding population spike rate patterns in inner-product spaces. |
Q90316123 | Spiking Elementary Motion Detector in Neuromorphic Systems |
Q47268886 | Spiking Neural Classifier with Lumped Dendritic Nonlinearity and Binary Synapses: A Current Mode VLSI Implementation and Analysis |
Q51051395 | Spiking neural P systems with a generalized use of rules. |
Q51496254 | Spiking neural P systems with astrocytes. |
Q47749023 | Spiking neural P systems with thresholds. |
Q47802256 | Spiking neural P systems with weights |
Q48404825 | Spiking neural networks for cortical neuronal spike train decoding. |
Q48429224 | Spiking neuron model for temporal sequence recognition. |
Q51578998 | Spiking neurons and the first passage problem. |
Q48822074 | Spiking neurons can learn to solve information bottleneck problems and extract independent components. |
Q42462876 | Spine head calcium as a measure of summed postsynaptic activity for driving synaptic plasticity |
Q51582229 | Spontaneous action potentials and neural coding in unmyelinated axons. |
Q45104984 | Spontaneous clustering via minimum γ-divergence |
Q47856373 | Spontaneous dynamics of asymmetric random recurrent spiking neural networks. |
Q51595903 | Spontaneous excitations in the visual cortex: stripes, spirals, rings, and collective bursts. |
Q48131563 | Spontaneous motion on two-dimensional continuous attractors |
Q47758988 | Spontaneous slow oscillations and sequential patterns due to short-term plasticity in a model of the cortex |
Q48713975 | Spotting neural spike patterns using an adversary background model. |
Q104747894 | Stability Conditions of Bicomplex-Valued Hopfield Neural Networks |
Q51624412 | Stability against fluctuations: scaling, bifurcations, and spontaneous symmetry breaking in stochastic models of synaptic plasticity. |
Q48763831 | Stability of localized patterns in neural fields. |
Q51998065 | Stability-based validation of clustering solutions. |
Q56421822 | Stable Adaptive Control of Robot Manipulators Using “Neural” Networks |
Q41705431 | Stable and rapid recurrent processing in realistic autoassociative memories |
Q51935227 | Stable competitive dynamics emerge from multispike interactions in a stochastic model of spike-timing-dependent plasticity. |
Q51644596 | Stable encoding of finite-state machines in discrete-time recurrent neural nets with sigmoid units. |
Q52305068 | Stable encoding of large finite-state automata in recurrent neural networks with sigmoid discriminants. |
Q78000542 | Stable propagation of activity pulses in populations of spiking neurons |
Q41529942 | State-Space Analysis of Granger-Geweke Causality Measures with Application to fMRI. |
Q47458799 | State-Space Models: From the EM Algorithm to a Gradient Approach |
Q91053162 | State-Space Representations of Deep Neural Networks |
Q46051154 | State-dependent computation using coupled recurrent networks |
Q48510772 | State-dependent weights for neural associative memories. |
Q52072626 | Stationary and integrated autoregressive neural network processes. |
Q47892474 | Stationary bumps in networks of spiking neurons |
Q104747899 | Statistical Analysis of Decoding Performances of Diverse Populations of Neurons |
Q114926583 | Statistical Theory of Learning Curves under Entropic Loss Criterion |
Q36815114 | Statistical approach to shape from shading: reconstruction of three-dimensional face surfaces from single two-dimensional images |
Q84964645 | Statistical computer model analysis of the reciprocal and recurrent inhibitions of the Ia-EPSP in α-motoneurons |
Q83198910 | Statistical computer model analysis of the reciprocal and recurrent inhibitory postsynaptic potentials in alpha-motoneurons |
Q48681590 | Statistical mechanics of reward-modulated learning in decision-making networks. |
Q30608776 | Statistical procedures for spatiotemporal neuronal data with applications to optical recording of the auditory cortex |
Q77362584 | Statistical significance of coincident spikes: count-based versus rate-based statistics |
Q73279747 | Statistical signs of common inhibitory feedback with delay |
Q41705420 | Statistically efficient estimation using population coding |
Q47434276 | Statistics of Visual Responses to Image Object Stimuli from Primate AIT Neurons to DNN Neurons |
Q48771410 | Stimulus competition by inhibitory interference. |
Q44942387 | Stimulus representation and the timing of reward-prediction errors in models of the dopamine system |
Q95500118 | Stimulus-Dependent Assembly Formation of Oscillatory Responses: I. Synchronization |
Q95500125 | Stimulus-Dependent Assembly Formation of Oscillatory Responses: II. Desynchronization |
Q114926595 | Stimulus-Dependent Assembly Formation of Oscillatory Responses: III. Learning |
Q48503940 | Stimulus-dependent correlations and population codes. |
Q46028783 | Stimulus-dependent correlations in threshold-crossing spiking neurons. |
Q51316687 | Stochastic Hodgkin-Huxley equations with colored noise terms in the conductances. |
Q96293562 | Stochastic Multichannel Ranking with Brain Dynamics Preferences |
Q51847479 | Stochastic Variance Models in Discrete Time with Feedforward Neural Networks |
Q52264428 | Stochastic completion fields; a neural model of illusory contour shape and salience. |
Q47263653 | Stochastic dynamics of a finite-size spiking neural network |
Q42146412 | Stochastic optimal control and estimation methods adapted to the noise characteristics of the sensorimotor system |
Q44289983 | Stochastic optimal control as a theory of brain-machine interface operation |
Q52135175 | Stochastic organization of output codes in multiclass learning problems. |
Q45960930 | Stochastic perturbation methods for spike-timing-dependent plasticity. |
Q48557375 | Stochastic properties of coincidence-detector neural cells. |
Q51993667 | Stochastic reasoning, free energy, and information geometry. |
Q47796310 | Stochastic synchrony of chaos in a pulse-coupled neural network with both chemical and electrical synapses among inhibitory neurons |
Q52047959 | Stochastic trapping in a solvable model of on-line independent component analysis. |
Q90718202 | Storing Object-Dependent Sparse Codes in a Willshaw Associative Network |
Q42644524 | Strictly positive-definite spike train kernels for point-process divergences. |
Q51183866 | Strongly improved stability and faster convergence of temporal sequence learning by using input correlations only. |
Q50974236 | Structural intervention distance for evaluating causal graphs. |
Q41683765 | Subdiffusive dynamics of bump attractors: mechanisms and functional roles |
Q40830680 | Subsampled Hessian Newton Methods for Supervised Learning |
Q52056961 | Subspace information criterion for model selection. |
Q48897752 | Subthreshold membrane depolarization as memory trace for perceptual learning. |
Q31934157 | Subtractive and divisive inhibition: effect of voltage-dependent inhibitory conductances and noise |
Q47434315 | Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities |
Q52034613 | Sufficient conditions for error backflow convergence in dynamical recurrent neural networks. |
Q50767941 | Sufficient dimension reduction via squared-loss mutual information estimation. |
Q51610122 | Suitability of V1 energy models for object classification. |
Q52322416 | SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks. |
Q92118182 | Supervised Determined Source Separation with Multichannel Variational Autoencoder |
Q93271642 | Supervised Dimensionality Reduction on Grassmannian for Image Set Recognition |
Q114926566 | Supervised Factorial Learning |
Q30667122 | Supervised dimension reduction of intrinsically low-dimensional data |
Q52045514 | Supervised learning in a recurrent network of rate-model neurons exhibiting frequency adaptation. |
Q44820960 | Supervised learning in multilayer spiking neural networks |
Q48429234 | Supervised learning in spiking neural networks with ReSuMe: sequence learning, classification, and spike shifting. |
Q52053631 | Supervised learning through neuronal response modulation. |
Q40138174 | Supervised spike-timing-dependent plasticity: a spatiotemporal neuronal learning rule for function approximation and decisions |
Q45947248 | Support Vector Algorithms for Optimizing the Partial Area under the ROC Curve. |
Q31043807 | Support vector machines for dyadic data |
Q51922396 | Support vector ordinal regression. |
Q33339423 | Suprathreshold intrinsic dynamics of the human visual system |
Q31139175 | Surrogate Data Methods Based on a Shuffling of the Trials for Synchrony Detection: The Centering Issue |
Q47733486 | Surrogate population models for large-scale neural simulations |
Q92730813 | Switching in Cerebellar Stellate Cell Excitability in Response to a Pair of Inhibitory/Excitatory Presynaptic Inputs: A Dynamical System Perspective |
Q40398867 | Symbolic Computation Using Cellular Automata-Based Hyperdimensional Computing |
Q95500114 | Symmetric Neural Networks and Propositional Logic Satisfiability |
Q52337556 | Synapse Models for Neural Networks: From Ion Channel Kinetics to Multiplicative Coefficient wij |
Q48188429 | Synaptic Depression Leads to Nonmonotonic Frequency Dependence in the Coincidence Detector |
Q91960282 | Synaptic Scaling Improves the Stability of Neural Mass Models Capable of Simulating Brain Plasticity |
Q81201449 | Synaptic and temporal ensemble interpretation of spike-timing-dependent plasticity |
Q52189324 | Synaptic delay learning in pulse-coupled neurons. |
Q51625662 | Synaptic dynamics in analog VLSI. |
Q28283014 | Synaptic pruning in development: a computational account |
Q41705436 | Synaptic runaway in associative networks and the pathogenesis of schizophrenia |
Q35041372 | Synaptic scaling stabilizes persistent activity driven by asynchronous neurotransmitter release |
Q48930290 | Synaptic shot noise and conductance fluctuations affect the membrane voltage with equal significance. |
Q49084582 | Synchronization and redundancy: implications for robustness of neural learning and decision making. |
Q52021263 | Synchronization in networks of excitatory and inhibitory neurons with sparse, random connectivity. |
Q48875013 | Synchronization in relaxation oscillator networks with conduction delays. |
Q92376211 | Synchronization of Bursting Action Potential Discharge in a Model Network of Neocortical Neurons |
Q51079755 | Synchronization of stochastic competitive neural networks with different timescales and reaction-diffusion terms. |
Q47889946 | Synchronization of the neural response to noisy periodic synaptic input |
Q45979342 | Synchronized action of synaptically coupled chaotic model neurons. |
Q46496857 | Synchronized firings in the networks of class 1 excitable neurons with excitatory and inhibitory connections and their dependences on the forms of interactions |
Q47880384 | Synchronous firing and higher-order interactions in neuron pool |
Q99569103 | Synchrony and Complexity in State-Related EEG Networks: An Application of Spectral Graph Theory |
Q47903228 | Synchrony and desynchrony in integrate-and-fire oscillators |
Q47922039 | Synchrony in excitatory neural networks |
Q74145445 | Synchrony in heterogeneous networks of spiking neurons |
Q44575828 | Synchrony of fast-spiking interneurons interconnected by GABAergic and electrical synapses |
Q51922402 | Synchrony of neuronal oscillations controlled by GABAergic reversal potentials. |
Q51907375 | Synchrony-induced switching behavior of spike pattern attractors created by spike-timing-dependent plasticity. |
Q48249012 | Synergies between intrinsic and synaptic plasticity mechanisms |
Q52581518 | Synergy in a neural code. |
Q51645229 | Synthesis of generalized algorithms for the fast computation of synaptic conductances with Markov kinetic models in large network simulations. |
Q46071641 | System identification of mGluR-dependent long-term depression. |
Q33587731 | Systematic fluctuation expansion for neural network activity equations |
Q90701066 | Systems of Bounded Rational Agents with Information-Theoretic Constraints |
Q92376215 | TAG: A Neural Network Model for Large-Scale Optical Implementation |
Q51808524 | Taming fluctuations in a stochastic model of spike-timing-dependent plasticity. |
Q48380258 | Tangent bundle curve completion with locally connected parallel networks. |
Q47632620 | Temporal Causal Inference with Time Lag. |
Q95500275 | Temporal Evolution of Generalization during Learning in Linear Networks |
Q50454812 | Temporal coding of time-varying stimuli. |
Q51891135 | Temporal coding: assembly formation through constructive interference. |
Q51642020 | Temporal correlations in stochastic networks of spiking neurons. |
Q51630212 | Temporal decoding by phase-locked loops: unique features of circuit-level implementations and their significance for vibrissal information processing. |
Q43545951 | Temporal difference model reproduces anticipatory neural activity |
Q51891138 | Temporal dynamics of rate-based synaptic plasticity rules in a stochastic model of spike-timing-dependent plasticity. |
Q38059494 | Temporal order detection and coding in nervous systems |
Q46118527 | Temporal precision of spike trains in extrastriate cortex of the behaving macaque monkey |
Q52310481 | Temporal segmentation in a neural dynamic system. |
Q36048788 | Temporal sequence learning, prediction, and control: a review of different models and their relation to biological mechanisms |
Q48273923 | Temporal symmetry in primary auditory cortex: implications for cortical connectivity |
Q41732315 | Temporal-code to rate-code conversion by neuronal phase-locked loops |
Q52001904 | Temporally asymmetric learning supports sequence processing in multi-winner self-organizing maps. |
Q93271639 | Ten Simple Rules for Organizing and Running a Successful Intensive Two-Week Course |
Q97597325 | Tensor Least Angle Regression for Sparse Representations of Multidimensional Signals |
Q91447595 | Tensor Representation of Topographically Organized Semantic Spaces |
Q51986976 | Testing for and estimating latency effects for poisson and non-poisson spike trains. |
Q43667496 | The Bayesian evidence scheme for regularizing probability-density estimating neural networks |
Q73255154 | The Concave-Convex Procedure |
Q38836891 | The Deterministic Information Bottleneck |
Q40140194 | The Development of an Information Criterion for Change-Point Analysis |
Q58777175 | The Discrete and Continuous Brain: From Decisions to Movement-And Back Again |
Q90425741 | The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models |
Q90718192 | The Effect of Signaling Latencies and Node Refractory States on the Dynamics of Networks |
Q114926633 | The Effects of Precision Constraints in a Backpropagation Learning Network |
Q50499945 | The Enhanced Rise and Delayed Fall of Memory in a Model of Synaptic Integration: Extension to Discrete State Synapses. |
Q93271645 | The Exact VC Dimension of the WiSARD n-Tuple Classifier |
Q115391379 | The Functional Role of Excitatory and Inhibitory Interactions in Chopper Cells of the Anteroventral Cochlear Nucleus |
Q26720266 | The Functional Segregation and Integration Model: Mixture Model Representations of Consistent and Variable Group-Level Connectivity in fMRI |
Q51258337 | The Geometry of Plasticity-Induced Sensitization in Isoinhibitory Rate Motifs. |
Q47348488 | The Helmholtz Machine |
Q52238106 | The Influence Function of Principal Component Analysis by Self-Organizing Rule. |
Q57472002 | The Information Bottleneck and Geometric Clustering |
Q47343650 | The Interaction between Semantic Representation and Episodic Memory. |
Q55892380 | The Lack of A Priori Distinctions Between Learning Algorithms |
Q43957675 | The Lamellar Structure of the Brain Fiber Pathways |
Q53072598 | The Leaky Integrator with Recurrent Inhibition as a Predictor. |
Q33612762 | The MEE principle in data classification: a perceptron-based analysis. |
Q41554850 | The NEURON simulation environment |
Q47905039 | The Ornstein-Uhlenbeck process does not reproduce spiking statistics of neurons in prefrontal cortex |
Q31143726 | The Population Tracking Model: A Simple, Scalable Statistical Model for Neural Population Data |
Q114926556 | The Role of Constraints in Hebbian Learning |
Q114926552 | The Role of Weight Normalization in Competitive Learning |
Q50592052 | The Space-Clamped Hodgkin-Huxley System with Random Synaptic Input: Inhibition of Spiking by Weak Noise and Analysis with Moment Equations. |
Q90425748 | The Stochastic Delta Rule: Faster and More Accurate Deep Learning through Adaptive Weight Noise |
Q52205227 | The Target Switch Algorithm: A Constructive Learning Procedure for Feed-Forward Neural Networks |
Q95500148 | The Transition to Perfect Generalization in Perceptrons |
Q50431032 | The Two-Dimensional Gabor Function Adapted to Natural Image Statistics: A Model of Simple-Cell Receptive Fields and Sparse Structure in Images. |
Q52075533 | The VC dimension for mixtures of binary classifiers. |
Q114926647 | The Vapnik-Chervonenkis Dimension: Information versus Complexity in Learning |
Q114926580 | The Variance of Covariance Rules for Associative Matrix Memories and Reinforcement Learning |
Q48658949 | The Whitney reduction network: a method for computing autoassociative graphs. |
Q51899607 | The actor-critic learning is behind the matching law: matching versus optimal behaviors. |
Q47898551 | The approach of a neuron population firing rate to a new equilibrium: an exact theoretical result |
Q79503541 | The astrocyte as a gatekeeper of synaptic information transfer |
Q48317799 | The basal ganglia and cortex implement optimal decision making between alternative actions. |
Q46002382 | The basal ganglia optimize decision making over general perceptual hypotheses. |
Q47671256 | The benefits of modeling slack variables in SVMs |
Q41899760 | The berkeley wavelet transform: a biologically inspired orthogonal wavelet transform |
Q36181566 | The cocktail party problem |
Q49084497 | The combinatorics of neurite self-avoidance. |
Q81599040 | The combined effects of inhibitory and electrical synapses in synchrony |
Q47746665 | The competing benefits of noise and heterogeneity in neural coding |
Q48874992 | The computational exploration of visual word recognition in a split model. |
Q50970157 | The computational power of interactive recurrent neural networks. |
Q39893941 | The computational structure of spike trains |
Q48153998 | The continuum of operating modes for a passive model neuron |
Q48647629 | The costs of ignoring high-order correlations in populations of model neurons. |
Q47329718 | The crystallizing substochastic sequential machine extractor: CrySSMEx |
Q51558356 | The dependence of spike field coherence on expected intensity. |
Q52182561 | The diabolo classifier |
Q31140287 | The diffusion decision model: theory and data for two-choice decision tasks |
Q52109025 | The dynamic neural filter: a binary model of spatiotemporal coding. |
Q46794711 | The dynamics of discrete-time computation, with application to recurrent neural networks and finite state machine extraction |
Q47794926 | The dynamics of integrate-and-fire: mean versus variance modulations and dependence on baseline parameters |
Q41753973 | The early restart algorithm |
Q46741975 | The effect of NMDA receptors on gain modulation. |
Q78019998 | The effect of correlated variability on the accuracy of a population code |
Q47817737 | The effect of noise on a class of energy-based learning rules. |
Q48370400 | The effects of input rate and synchrony on a coincidence detector: analytical solution. |
Q52082909 | The effects of pair-wise and higher order correlations on the firing rate of a post-synaptic neuron. |
Q48859810 | The effects of spike frequency adaptation and negative feedback on the synchronization of neural oscillators. |
Q52299082 | The error surface of the simplest XOR network has only global minima. |
Q51219763 | The evolution of representation in simple cognitive networks. |
Q39337884 | The firing of an excitable neuron in the presence of stochastic trains of strong synaptic inputs |
Q51899615 | The high-conductance state of cortical networks. |
Q48399759 | The hippocampus as a stable memory allocator for cortex. |
Q46208656 | The impact of spike timing variability on the signal-encoding performance of neural spiking models |
Q78000547 | The influence of limit cycle topology on the phase resetting curve |
Q52202691 | The interchangeability of learning rate and gain in backpropagation neural networks. |
Q48673143 | The joint development of orientation and ocular dominance: role of constraints. |
Q44843185 | The kernel semi-least squares method for sparse distance approximation |
Q48956830 | The limits of counting accuracy in distributed neural representations. |
Q51645441 | The mean time to express synaptic plasticity in integrate-and-express, stochastic models of synaptic plasticity induction. |
Q74145435 | The minimal local-asperity hypothesis of early retinal lateral inhibition |
Q52079750 | The multifractal structure of contrast changes In natural images: from sharp edges To textures |
Q48642035 | The neural representation of time: an information-theoretic perspective. |
Q50670775 | The neuronal replicator hypothesis. |
Q47898540 | The number of synaptic inputs and the synchrony of large, sparse neuronal networks. |
Q46851042 | The optimal synapse for sparse, binary signals in the rod pathway |
Q51831597 | The problem of rapid variable creation. |
Q43143759 | The relation between color discrimination and color constancy: when is optimal adaptation task dependent? |
Q48151352 | The relationship between synchronization among neuronal populations and their mean activity levels |
Q77891267 | The reliability of the stochastic active rotator |
Q50799372 | The rise and fall of memory in a model of synaptic integration. |
Q48353586 | The road to chaos by time-asymmetric Hebbian learning in recurrent neural networks. |
Q43802658 | The role of extracellular conductivity profiles in compartmental models for neurons: particulars for layer 5 pyramidal cells |
Q41720656 | The role of the hippocampus in solving the Morris water maze |
Q47320342 | The scaling of winner-takes-all accuracy with population size. |
Q35693356 | The shape of neural dependence |
Q51324215 | The shape of phase-resetting curves in oscillators with a saddle node on an invariant circle bifurcation. |
Q47848226 | The spike-triggered average of the integrate-and-fire cell driven by gaussian white noise |
Q50965285 | The successor representation and temporal context. |
Q30604756 | The support feature machine: classification with the least number of features and application to neuroimaging data |
Q48282670 | The time-organized map algorithm: extending the self-organizing map to spatiotemporal signals. |
Q32060331 | The time-rescaling theorem and its application to neural spike train data analysis |
Q45964398 | The variational gaussian approximation revisited. |
Q39987672 | Theoretical and Experimental Analyses of Tensor-Based Regression and Classification |
Q51473077 | Theoretical and evolutionary parameter tuning of neural oscillators with a double-chain structure for generating rhythmic signals. |
Q96293570 | Theory and Algorithms for Shapelet-Based Multiple-Instance Learning |
Q51796947 | Theory and algorithm for learning with dissimilarity functions. |
Q47832522 | Theory of input spike auto- and cross-correlations and their effect on the response of spiking neurons |
Q81759546 | Theory of the snowflake plot and its relations to higher-order analysis methods |
Q51088287 | Thermodynamically equivalent silicon models of voltage-dependent ion channels. |
Q31130197 | Tight data-robust bounds to mutual information combining shuffling and model selection techniques |
Q52108260 | Tilt aftereffects in a self-organizing model of the primary visual cortex. |
Q39168136 | Time Series Decomposition into Oscillation Components and Phase Estimation. |
Q52207487 | Time-Skew Hebb Rule in a Nonisopotential Neuron |
Q51605707 | Time-free spiking neural P systems. |
Q41909091 | Time-varying perturbations can distinguish among integrate-to-threshold models for perceptual decision making in reaction time tasks |
Q50594023 | Timescale separation in recurrent neural networks. |
Q33530219 | Timescale-invariant pattern recognition by feedforward inhibition and parallel signal processing |
Q53253677 | Timing of Cortical Events Preceding Voluntary Movement. |
Q48751318 | Tonically balancing intracortical excitation and inhibition by GABAergic gliotransmission. |
Q48821464 | Topographic independent component analysis. |
Q33612769 | Topographic mapping of large dissimilarity data sets |
Q51957397 | Topographic product models applied to natural scene statistics. |
Q48751048 | Topographic receptive fields and patterned lateral interaction in a self-organizing model of the primary visual cortex. |
Q47726256 | Topological sparse learning of dynamic form patterns |
Q114926546 | Topology Learning Solved by Extended Objects: A Neural Network Model |
Q91189938 | Toward Training Recurrent Neural Networks for Lifelong Learning |
Q99569100 | Toward a Unified Framework for Cognitive Maps |
Q48495809 | Toward a biophysically plausible bidirectional Hebbian rule. |
Q42070418 | Toward a multisubject analysis of neural connectivity |
Q38646787 | Toward an Open-Ended BCI: A User-Centered Coadaptive Design. |
Q43483409 | Toward nonlinear local reinforcement learning rules through neuroevolution. |
Q51647541 | Toward optimally distributed computation. |
Q49079513 | Toward unified hybrid simulation techniques for spiking neural networks. |
Q51687267 | Tractable multivariate binary density estimation and the restricted Boltzmann forest. |
Q42624385 | Trading variance reduction with unbiasedness: the regularized subspace information criterion for robust model selection in kernel regression |
Q52112387 | Training a single sigmoidal neuron is hard. |
Q47295698 | Training a support vector machine in the primal |
Q52079749 | Training feed-forward neural networks with gain constraints |
Q52034609 | Training nu-support vector regression: theory and algorithms. |
Q47263644 | Training pi-sigma network by online gradient algorithm with penalty for small weight update |
Q34144628 | Training products of experts by minimizing contrastive divergence |
Q51922400 | Training recurrent networks by Evolino. |
Q60241125 | Training v-Support Vector Classifiers: Theory and Algorithms |
Q51922394 | Transductive methods for the distributed ensemble classification problem. |
Q48414424 | Transform-invariant recognition by association in a recurrent network. |
Q91960274 | Transition Scale-Spaces: A Computational Theory for the Discretized Entorhinal Cortex |
Q51512062 | Transmission of population-coded information. |
Q51605717 | Traveling bumps and their collisions in a two-dimensional neural field. |
Q47885535 | Traveling waves of excitation in neural field models: equivalence of rate descriptions and integrate-and-fire dynamics |
Q48380249 | Tuning low-voltage-activated A-current for silent gain modulation. |
Q36943874 | Two computational regimes of a single-compartment neuron separated by a planar boundary in conductance space |
Q45100438 | Two-state membrane potential fluctuations driven by weak pairwise correlations |
Q48368885 | Two-trace model for spike-timing-dependent synaptic plasticity. |
Q47829796 | Type I and type II neuron models are selectively driven by differential stimulus features. |
Q34387915 | Type I membranes, phase resetting curves, and synchrony |
Q50632922 | U-processes and preference learning. |
Q91447588 | Unconscious Biases in Neural Populations Coding Multiple Stimuli |
Q114926518 | Understanding Dynamics of Nonlinear Representation Learning and Its Application |
Q50862321 | Understanding Emergent Dynamics: Using a Collective Activity Coordinate of a Neural Network to Recognize Time-Varying Patterns. |
Q46665799 | Understanding Parkinsonian handwriting through a computational model of basal ganglia |
Q114926510 | Understanding and Applying Deep Learning |
Q34406794 | Understanding the cortical specialization for horizontal disparity. |
Q31155051 | Unifying Adversarial Training Algorithms with Data Gradient Regularization |
Q40940785 | Unifying Blind Separation and Clustering for Resting-State EEG/MEG Functional Connectivity Analysis |
Q57988764 | Unitary Events in Multiple Single-Neuron Spiking Activity: I. Detection and Significance |
Q30667119 | Unitary events in multiple single-neuron spiking activity: II. Nonstationary data |
Q60670889 | Universal Approximation Capability of Cascade Correlation for Structures |
Q57311896 | Universal Approximation Using Radial-Basis-Function Networks |
Q51096063 | Universal approximation depth and errors of narrow belief networks with discrete units. |
Q78518422 | Universal approximation of multiple nonlinear operators by neural networks |
Q38883494 | Unsupervised 2D Dimensionality Reduction with Adaptive Structure Learning. |
Q114926650 | Unsupervised Learning |
Q48423991 | Unsupervised formation of vocalization-sensitive neurons: a cortical model based on short-term and homeostatic plasticity. |
Q45827142 | Unsupervised learning of generative and discriminative weights encoding elementary image components in a predictive coding model of cortical function |
Q46798961 | Unsupervised learning of individuals and categories from images |
Q44882516 | Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering |
Q57472009 | Use of a Deep Belief Network for Small High-Level Abstraction Data Sets Using Artificial Intelligence with Rule Extraction |
Q51644833 | Using Bayes' rule to model multisensory enhancement in the superior colliculus. |
Q38970069 | Using Inspiration from Synaptic Plasticity Rules to Optimize Traffic Flow in Distributed Engineered Networks. |
Q44146538 | Using multilayer perceptron computation to discover ideal insect olfactory receptor combinations in the mosquito and fruit fly for an efficient electronic nose. |
Q52305060 | Using neural networks to model conditional multivariate densities. |
Q52012046 | Using noise to compute error surfaces in connectionist networks: a novel means of reducing catastrophic forgetting. |
Q52296070 | Using visual latencies to improve image segmentation. |
Q43535092 | Validation of voting committees |
Q51848269 | Validation-based sparse Gaussian process classifier design. |
Q51899589 | Valuations for spike train prediction. |
Q52299087 | Vapnik-Chervonenkis generalization bounds for real valued neural networks. |
Q91508578 | Variable Selection for Nonparametric Learning with Power Series Kernels |
Q47838792 | Variable timescales of repeated spike patterns in synfire chain with Mexican-hat connectivity |
Q48608390 | Variation in the local motion statistics of real-life optic flow scenes. |
Q51920784 | Variational Bayes solution of linear neural networks and its generalization performance. |
Q38883484 | Variational Latent Gaussian Process for Recovering Single-Trial Dynamics from Population Spike Trains |
Q48723743 | Variational learning for switching state-space models. |
Q52179668 | Variational learning in nonlinear gaussian belief networks. |
Q52022328 | Variational mixture of Bayesian independent component analyzers. |
Q50625210 | Variations on the Theme of Synaptic Filtering: A Comparison of Integrate-and-Express Models of Synaptic Plasticity for Memory Lifetimes. |
Q38395814 | Vector Symbolic Spiking Neural Network Model of Hippocampal Subarea CA1 Novelty Detection Functionality. |
Q92441378 | Vector-Derived Transformation Binding: An Improved Binding Operation for Deep Symbol-Like Processing in Neural Networks |
Q33843647 | Vectorized algorithms for spiking neural network simulation |
Q74146459 | Vergence dynamics predict fixation disparity |
Q52150437 | Visual Categorization with Random Projection. |
Q36332662 | Visual Decisions in the Presence of Measurement and Stimulus Correlations |
Q48339268 | Visual development and the acquisition of motion velocity sensitivities. |
Q44358775 | Visual motion priors differ for infants and mothers |
Q48097268 | Visual recognition and inference using dynamic overcomplete sparse learning |
Q48097256 | Visual remapping by vector subtraction: analysis of multiplicative gain field models. |
Q41359866 | Visual tracking using neuromorphic asynchronous event-based cameras |
Q52075529 | Visualizing the function computed by a feedforward neural network. |
Q48455750 | Visuotactile representation of peripersonal space: a neural network study. |
Q73685561 | Weak, stochastic temporal correlation of large scale synaptic input is A major determinant of neuronal bandwidth |
Q95500289 | Weight Perturbation: An Optimal Architecture and Learning Technique for Analog VLSI Feedforward and Recurrent Multilayer Networks |
Q47288104 | Weight-value convergence of the SOM algorithm for discrete input |
Q31002434 | What Causes a Neuron to Spike? |
Q63987903 | What Does the Retina Know about Natural Scenes? |
Q51964612 | What can a neuron learn with spike-timing-dependent plasticity? |
Q41557733 | What can neuromorphic event-driven precise timing add to spike-based pattern recognition? |
Q28203241 | What geometric visual hallucinations tell us about the visual cortex |
Q46900464 | What is the limit of redundancy reduction with divisive normalization? |
Q51902060 | What is the optimal architecture for visual information routing? |
Q51935224 | What is the relation between slow feature analysis and independent component analysis? |
Q47915064 | What matters in neuronal locking? |
Q91508552 | When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time |
Q48503608 | When response variability increases neural network robustness to synaptic noise. |
Q104747897 | Whence the Expected Free Energy? |
Q39948294 | Whole-Body Reaching Movements Formulated by Minimum Muscle-Tension Change Criterion |
Q49683058 | Why Do Similarity Matching Objectives Lead to Hebbian/Anti-Hebbian Networks? |
Q52322412 | Why Does Large Batch Training Result in Poor Generalization? A Comprehensive Explanation and a Better Strategy from the Viewpoint of Stochastic Optimization. |
Q48357130 | Why does the somatosensory homunculus have hands next to face and feet next to Genitals? A hypothesis. |
Q46238876 | Wide-band information transmission at the calyx of Held |
Q51665649 | Window-based example selection in learning vector quantization. |
Q114926604 | Working Memory Networks for Learning Temporal Order with Application to Three-Dimensional Visual Object Recognition |
Q114926517 | eSPA+: Scalable Entropy-Optimal Machine Learning Classification for Small Data Problems |
Q56888426 | t-SNE Visualization of Large-Scale Neural Recordings |
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