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Synchronization in model networks of class I neurons

By Guy Katriel

Abstract

We study a modification of the Hoppensteadt-Izhikevich canonical model for networks of class I neurons, in which the 'pulse' emitted by a neuron is smooth rather than a delta-function. We prove two types of results about synchronization and desynchronization of such networks, the first type pertaining to 'pulse' functions which are symmetric, and the other type in the regime in which each neuron is connected to many other neurons

Topics: Neural Modelling, Computational Neuroscience, Neural Nets
Year: 2003
OAI identifier: oai:cogprints.org:3181

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Citations

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