Optimization methods for spiking neurons and networks

scientific article

Optimization methods for spiking neurons and networks is …
instance of (P31):
scholarly articleQ13442814

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P8978DBLP publication IDjournals/tnn/RussellODMNTE10
P356DOI10.1109/TNN.2010.2083685
P932PMC publication ID3164281
P698PubMed publication ID20959265

P50authorGarrick OrchardQ56947571
Stefan MihalasQ89891250
Ernst NieburQ92546868
P2093author name stringAlexander Russell
Jonathan Tapson
Yi Dong
Ralph Etienne-Cummings
P2860cites workA quantitative description of membrane current and its application to conduction and excitation in nerveQ22337072
Voltage oscillations in the barnacle giant muscle fiber.Q24536105
Assembly of motor circuits in the spinal cord: driven to function by genetic and experience-dependent mechanismsQ36982984
A generalized linear integrate-and-fire neural model produces diverse spiking behaviorsQ41922899
Neuroscience. How good are neuron models?Q43260508
Characterization of the circuits that generate spontaneous episodes of activity in the early embryonic mouse spinal cord.Q44281907
Training spiking neuronal networks with applications in engineering tasks.Q47357039
Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding modelQ47866601
Nature and precision of temporal coding in visual cortex: a metric-space analysis.Q48949418
An in silico central pattern generator: silicon oscillator, coupling, entrainment, and physical computation.Q51639893
A first-order nonhomogeneous Markov model for the response of spiking neurons stimulated by small phase-continuous signals.Q51853020
Learning anticipation via spiking networks: application to navigation control.Q51856046
Which model to use for cortical spiking neurons?Q51986607
Modeling alternation to synchrony with inhibitory coupling: a neuromorphic VLSI approach.Q52072631
Evolution and analysis of model CPGs for walking: I. Dynamical modules.Q52142682
Cholinergic and GABAergic inputs drive patterned spontaneous motoneuron activity before target contactQ77223761
P433issue12
P407language of work or nameEnglishQ1860
P304page(s)1950-1962
P577publication date2010-10-18
P1433published inIEEE Transactions on Neural NetworksQ15751778
P1476titleOptimization methods for spiking neurons and networks
P478volume21

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cites work (P2860)
Q36700346A simple model of mechanotransduction in primate glabrous skin
Q35650651Biophysical Neural Spiking, Bursting, and Excitability Dynamics in Reconfigurable Analog VLSI.
Q91626091Data and Power Efficient Intelligence with Neuromorphic Learning Machines
Q42399086Design of Spiking Central Pattern Generators for Multiple Locomotion Gaits in Hexapod Robots by Christiansen Grammar Evolution
Q41906572Estimating parameters of generalized integrate-and-fire neurons from the maximum likelihood of spike trains.
Q37015678Parameter estimation of a spiking silicon neuron
Q89857472Pre-Synaptic Pool Modification (PSPM): A supervised learning procedure for recurrent spiking neural networks
Q28656038PyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systems
Q39742953Responses of Leaky Integrate-and-Fire Neurons to a Plurality of Stimuli in Their Receptive Fields
Q41863138Synthesis of neural networks for spatio-temporal spike pattern recognition and processing.
Q35600901Tunable neuromimetic integrated system for emulating cortical neuron models

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