Synchronization in model networks of class I neurons

dc.creatorKatriel, Guy
dc.date2003-09-15
dc.date2003-09-28
dc.date.accessioned2026-07-07T05:34:57Z
dc.date.available2026-07-07T05:34:57Z
dc.descriptionWe study a modification of the canonical model for networks of class I neurons, presented by Hoppensteadt and Izhikevich, 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.
dc.description14 pages. An error has been found in the asymptotic analysis in section 5 of the first version, due to which some of the claims made in this section were untrue. In this version the correct results on synchronization/desynchronization in the 'many connections' regime are given
dc.identifierhttps://arxiv.org/abs/nlin/0309041
dc.identifierhttp://arxiv.org/abs/nlin/0309041
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/80561
dc.subjectAdaptation and Self-Organizing Systems
dc.subjectDisordered Systems and Neural Networks
dc.subjectPattern Formation and Solitons
dc.subjectNeurons and Cognition
dc.titleSynchronization in model networks of class I neurons
dc.typetext

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