Effects of time-periodic intercoupling strength on burst synchronization of a clustered neuronal network

Xiao-Juan Sun*, Fang Han, Marian Wiercigroch, Xia Shi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

In this paper, we investigate the effect of time-periodic intercoupling strength on burst synchronization of a clustered neuronal network. We mainly focus on discussing the effects of amplitude and frequency of the time-periodic intercoupling strength on burst synchronization. We found that by tuning the frequency, burst synchrony of the clustered neuronal network could change from higher synchronized states to low synchronized states, and vice versa. While for the amplitude, we surprisingly found that with increasing of the amplitude, burst synchrony of the clustered neuronal network is not always enhanced. We know that synchronization has close relationship with cognitive activities and brain disorders. Thus, our results could give us some useful insight on the important role of time-dependent couplings in neuronal systems. (C) 2014 Elsevier Ltd. All rights reserved.

Original languageEnglish
Pages (from-to)119-125
Number of pages7
JournalInternational Journal of Non-Linear Mechanics
Volume70
Early online date19 Oct 2014
DOIs
Publication statusPublished - Apr 2015

Bibliographical note

The authors would like to thank anonymous reviewers for their constructive comments. The financial support from the Royal Society of London, the Centre for Marine and Petroleum Technology and the Engineering and Physical Sciences Research Council is gratefully acknowledged.

Keywords

  • spiking regularity
  • clustered neuronal network
  • time-periodic intercoupling strength
  • brain networks
  • organization
  • noise

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