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Networks of Integrate-and-Fire Neurons using Rank Order Coding B: Spike Timing Dependant Plasticity and Emergence of Orientation Selectivity (2001)
BibTeX
@MISC{Laurent01networksof,
author = {Arnaud Delorme Laurent and Laurent Perrinet B and Simon J. Thorpe A},
title = {Networks of Integrate-and-Fire Neurons using Rank Order Coding B: Spike Timing Dependant Plasticity and Emergence of Orientation Selectivity},
year = {2001}
}
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Abstract
Rank Order Coding is an alternative to conventional rate coding schemes that uses the order in which a neuron's inputs fire to encode information. In a visual system framework, we simulated the asynchronous waves of retinal spikes produced in response to natural scenes and used them to stimulate integrate-and-fire V1 neurons that implemented a standard learning rule based on spike timing. After propagating thousands of images, orientation like receptive fields arise in these neurons despite the fact that the input neurons never fired more than once. We also analyze the biological plausibility of such a network.
Keyphrases
rank order coding spike timing dependant plasticity orientation selectivity integrate-and-fire neuron asynchronous wave conventional rate input neuron spike timing retinal spike visual system framework biological plausibility receptive field natural scene integrate-and-fire v1 neuron standard learning rule
