Synchronization of Fitzhugh-Nagumo neural network in external electrical fields

Cong Men, Jiang Wang, Bin Deng, Xi Le Wei, Yan Qiu Che

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Synchronization is a crucial mechanism for information communication in neural network. However, how external electrical fields modulate synchronization is remain an open question. In this paper the stability of complete synchronization of coupled homogenous neural network in external electrical stimulation is investigated based on eigenvalue analysis. Furthermore, the effects of network heterogeneity and field frequency on synchronization of heterogenous neural networks are studied in detail. It's shown that coupling strength and topological structure play a crucial role in modulating the synchronous states in neural system. Synchronization is sensitive to electrical field frequency. However, heterogeneity plays an adverse role in achieving synchronous states.

Original languageEnglish (US)
Title of host publicationProceedings of the 29th Chinese Control Conference, CCC'10
Pages5165-5170
Number of pages6
StatePublished - Dec 22 2010
Event29th Chinese Control Conference, CCC'10 - Beijing, China
Duration: Jul 29 2010Jul 31 2010

Publication series

NameProceedings of the 29th Chinese Control Conference, CCC'10

Other

Other29th Chinese Control Conference, CCC'10
CountryChina
CityBeijing
Period7/29/107/31/10

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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