| scholarly article | Q13442814 |
| P50 | author | Paul D King | Q86499715 |
| P2093 | author name string | Joel Zylberberg | |
| Michael R DeWeese | |||
| P2860 | cites work | The "independent components" of natural scenes are edge filters | Q24597136 |
| Orientation tuning of input conductance, excitation, and inhibition in cat primary visual cortex | Q28143306 | ||
| Sparse coding and decorrelation in primary visual cortex during natural vision | Q28144886 | ||
| Normalization of cell responses in cat striate cortex | Q28252391 | ||
| Sparse representation of sounds in the unanesthetized auditory cortex. | Q28266540 | ||
| Efficient coding of natural scenes in the lateral geniculate nucleus: experimental test of a computational theory | Q28278519 | ||
| A simplified neuron model as a principal component analyzer | Q28279493 | ||
| Sparse coding with an overcomplete basis set: A strategy employed by V1? | Q29543004 | ||
| Interneurons of the neocortical inhibitory system | Q29547509 | ||
| Critical period plasticity in local cortical circuits | Q29617443 | ||
| Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects | Q29618746 | ||
| Synaptic modifications in cultured hippocampal neurons: dependence on spike timing, synaptic strength, and postsynaptic cell type | Q29619422 | ||
| Potentiation of cortical inhibition by visual deprivation. | Q48438986 | ||
| Differentially interconnected networks of GABAergic interneurons in the visual cortex of the cat. | Q48455548 | ||
| Perceptual inference predicts contextual modulations of sensory responses. | Q48601262 | ||
| Efficient auditory coding. | Q48639862 | ||
| Relative spike time coding and STDP-based orientation selectivity in the early visual system in natural continuous and saccadic vision: a computational model. | Q48884114 | ||
| Forming sparse representations by local anti-Hebbian learning. | Q52243048 | ||
| Vector reconstruction from firing rates. | Q52375858 | ||
| A simple coding procedure enhances a neuron's information capacity | Q70990455 | ||
| Connectivity of GABAergic calretinin-immunoreactive neurons in rat primary visual cortex | Q73165746 | ||
| Some informational aspects of visual perception | Q73509713 | ||
| Sparse codes for speech predict spectrotemporal receptive fields in the inferior colliculus | Q30465659 | ||
| Understanding auditory spectro-temporal receptive fields and their changes with input statistics by efficient coding principles | Q30474396 | ||
| Laminar structure of spontaneous and sensory-evoked population activity in auditory cortex | Q30478700 | ||
| Synaptic and network mechanisms of sparse and reliable visual cortical activity during nonclassical receptive field stimulation. | Q30500941 | ||
| Independent component analysis in spiking neurons | Q33565406 | ||
| Synaptic plasticity: taming the beast | Q33929019 | ||
| Neural mechanisms of orientation selectivity in the visual cortex | Q33938611 | ||
| Energy as a constraint on the coding and processing of sensory information | Q33954048 | ||
| A sparse coding model with synaptically local plasticity and spiking neurons can account for the diverse shapes of V1 simple cell receptive fields | Q34064180 | ||
| Emergence of simple-cell receptive field properties by learning a sparse code for natural images | Q34380659 | ||
| From electrical to chemical transmission in the central nervous system | Q34525896 | ||
| Synaptic mechanisms for plasticity in neocortex | Q34767350 | ||
| Broad inhibition sharpens orientation selectivity by expanding input dynamic range in mouse simple cells | Q35160198 | ||
| A neuronal network model of macaque primary visual cortex (V1): orientation selectivity and dynamics in the input layer 4Calpha | Q35176515 | ||
| Broadly tuned response properties of diverse inhibitory neuron subtypes in mouse visual cortex | Q35892842 | ||
| Spike timing-dependent plasticity of neural circuits. | Q35902473 | ||
| Functional maps of neocortical local circuitry | Q37316570 | ||
| Function of inhibition in visual cortical processing | Q37716204 | ||
| Too many cooks? Intrinsic and synaptic homeostatic mechanisms in cortical circuit refinement | Q37857840 | ||
| Neural processing as causal inference | Q37899621 | ||
| How inhibition shapes cortical activity | Q37948199 | ||
| Development and plasticity of the primary visual cortex | Q38030191 | ||
| Efficient coding of natural images with a population of noisy Linear-Nonlinear neurons | Q42051911 | ||
| Transformation-invariant visual representations in self-organizing spiking neural networks. | Q42168343 | ||
| Role of homeostasis in learning sparse representations | Q42457491 | ||
| Synaptic connections of morphologically identified and physiologically characterized large basket cells in the striate cortex of cat. | Q42460179 | ||
| Excitatory cortical neurons form fine-scale functional networks | Q45281385 | ||
| Functionally distinct inhibitory neurons at the first stage of visual cortical processing | Q46360943 | ||
| Natural stimulation of the nonclassical receptive field increases information transmission efficiency in V1. | Q46772132 | ||
| Sparse coding via thresholding and local competition in neural circuits | Q47748197 | ||
| Competitive STDP-based spike pattern learning | Q47812987 | ||
| The sparseness of neuronal responses in ferret primary visual cortex. | Q47819560 | ||
| Binary spiking in auditory cortex. | Q48215337 | ||
| Changes of synaptic density in the primary visual cortex of the macaque monkey from fetal to adult stage. | Q48258162 | ||
| Predictive coding as a model of response properties in cortical area V1. | Q48283600 | ||
| Robust correlations between action potential duration and the properties of synaptic connections in layer 4 interneurones in neocortical slices from juvenile rats and adult rat and cat. | Q48305523 | ||
| Decorrelated neuronal firing in cortical microcircuits | Q48328966 | ||
| Connectivity reflects coding: a model of voltage-based STDP with homeostasis | Q48334689 | ||
| Orientation selectivity of synaptic potentials in neurons of cat primary visual cortex. | Q48347441 | ||
| The cost of cortical computation | Q48360553 | ||
| A network that uses few active neurones to code visual input predicts the diverse shapes of cortical receptive fields | Q48391469 | ||
| P433 | issue | 13 | |
| P407 | language of work or name | English | Q1860 |
| P304 | page(s) | 5475-5485 | |
| P577 | publication date | 2013-03-01 | |
| P1433 | published in | Journal of Neuroscience | Q1709864 |
| P1476 | title | Inhibitory interneurons decorrelate excitatory cells to drive sparse code formation in a spiking model of V1 | |
| P478 | volume | 33 |
| Q64272245 | A hierarchical sparse coding model predicts acoustic feature encoding in both auditory midbrain and cortex |
| Q89695946 | Additive effect of contrast and velocity suggests the role of strong excitatory drive in suppression of visual gamma response |
| Q27312520 | An acetylcholine-activated microcircuit drives temporal dynamics of cortical activity |
| Q39007147 | Cell-specific modulation of plasticity and cortical state by cholinergic inputs to the visual cortex. |
| Q45958136 | Classification using sparse representations: a biologically plausible approach. |
| Q90458475 | Constrained inference in sparse coding reproduces contextual effects and predicts laminar neural dynamics |
| Q94544578 | Contextual Integration in Cortical and Convolutional Neural Networks |
| Q34840593 | Correlated activity supports efficient cortical processing |
| Q40591683 | Diversity priors for learning early visual features |
| Q55100688 | Electrical synapses between inhibitory neurons shape the responses of principal neurons to transient inputs in the thalamus: a modeling study. |
| Q35803484 | Feed-Forward versus Feedback Inhibition in a Basic Olfactory Circuit |
| Q37595156 | Hebbian plasticity requires compensatory processes on multiple timescales |
| Q39044269 | Independent theta phase coding accounts for CA1 population sequences and enables flexible remapping. |
| Q64068062 | Inhibition increases response variability and reduces stimulus discrimination in random networks of cortical neurons |
| Q45952386 | Input nonlinearities can shape beyond-pairwise correlations and improve information transmission by neural populations. |
| Q55073122 | Input-dependent modulation of MEG gamma oscillations reflects gain control in the visual cortex. |
| Q90356281 | Learning to represent signals spike by spike |
| Q30412252 | Mixed signal learning by spike correlation propagation in feedback inhibitory circuits. |
| Q35690724 | Modeling Inhibitory Interneurons in Efficient Sensory Coding Models |
| Q30951342 | Modeling fMRI signals can provide insights into neural processing in the cerebral cortex |
| Q47848156 | Network Supervision of Adult Experience and Learning Dependent Sensory Cortical Plasticity |
| Q35560193 | Neurons in cat V1 show significant clustering by degree of tuning |
| Q36149986 | Nonlinear Hebbian Learning as a Unifying Principle in Receptive Field Formation |
| Q48253521 | Noradrenergic plasticity of olfactory sensory neuron inputs to the main olfactory bulb. |
| Q91781480 | On the Sparse Structure of Natural Sounds and Natural Images: Similarities, Differences, and Implications for Neural Coding |
| Q37616745 | Optimal compensation for neuron loss |
| Q35990194 | Oscillation-Driven Spike-Timing Dependent Plasticity Allows Multiple Overlapping Pattern Recognition in Inhibitory Interneuron Networks |
| Q38848928 | Relating functional connectivity in V1 neural circuits and 3D natural scenes using Boltzmann machines. |
| Q56698213 | Sparse Models for Computer Vision |
| Q34979327 | Sparse coding models can exhibit decreasing sparseness while learning sparse codes for natural images |
| Q42645968 | Sparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networks |
| Q49557895 | Synaptic E-I Balance Underlies Efficient Neural Coding. |
| Q35100293 | The development of cortical circuits for motion discrimination |
| Q30410745 | The opponent channel population code of sound location is an efficient representation of natural binaural sounds |
| Q35157178 | Visual attention model based on statistical properties of neuron responses |
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