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COUPLING PARAMETER IN SYNCHRONIZATION OF SMALL-WORLD NEURAL NETWORKS.

Authors :
Sheng-Jun Wang
Xin-Jian Xu
Zhi-Xi Wu
Ying-Hai Wang
Source :
International Journal of Modern Physics C: Computational Physics & Physical Computation. Dec2005, Vol. 16 Issue 12, p1841-1848. 8p. 6 Graphs.
Publication Year :
2005

Abstract

We investigate the critical features of coupling parameters in the synchronization of the ensemble of identical neural networks with small-world connectivity. An exponential decay form is observed in the extreme case of global coupling among subsystems and full connection in each networks: there exists a maximum and a minimum of the critical coupling intensity for synchronization in this spatially extended system. For partial coupling, we present the primary result about the critical coupling fraction for various linked degree of subnetworks. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01291831
Volume :
16
Issue :
12
Database :
Academic Search Index
Journal :
International Journal of Modern Physics C: Computational Physics & Physical Computation
Publication Type :
Academic Journal
Accession number :
19839794
Full Text :
https://doi.org/10.1142/S0129183105008369