ID 112051
Author
Chen, Guanrong City University of Hong Kong
Keywords
Coupled neurons
synchronization
controlling chaos
bifurcation
Content Type
Journal Article
Description
This paper investigates the complex dynamics, synchronization, and control of chaos in a system of strongly connected Wilson-Cowan neural oscillators. Some typical synchronized periodic solutions are analyzed by using the Poincaré mapping method, for which bifurcation diagrams are obtained. It is shown that topological change of the synchronization mode is mainly caused and carried out by the Neimark-Sacker bifurcation. Finally, a simple feedback control method is presented for stabilizing an in-phase synchronizing periodic solution embedded in the chaotic attractor of a higher-dimensional model of such coupled neural oscillators.
Journal Title
International Journal of Bifurcation and Chaos
ISSN
02181274
17936551
NCID
AA10810319
Publisher
World Scientific
Volume
13
Issue
1
Start Page
163
End Page
175
Published Date
2003-01
Rights
Electronic version of an article published as International Journal of Bifurcation and Chaos Vol. 13, No. 1, 2003, 163-175, DOI: 10.1142/S0218127403006406 © World Scientific Publishing Company, https://www.worldscientific.com/worldscinet/ijbc
EDB ID
DOI (Published Version)
URL ( Publisher's Version )
FullText File
language
eng
TextVersion
Author
departments
Center for Administration of Information Technology