How the self-coupled neuron can affect the chaotic synchronization of network

Chenhui Jia, Jiang Wang and Bin Deng

Chaos, Solitons & Fractals, 2009, vol. 42, issue 2, 1112-1119

Abstract: We have calculated 34 kinds of three-cell neuron networks’ minimum coupling strength, from the result; we find that a self-coupled neuron can have some effect on the synchronization of the network. The reason is the self-coupled neurons make the number of neurons looks “decrease”, and they decrease the coupling strength of the other neurons which are coupled with them.

Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077909001234
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:42:y:2009:i:2:p:1112-1119

DOI: 10.1016/j.chaos.2009.03.009

Access Statistics for this article

Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros

More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().