TY - GEN
T1 - Effect of delay on the synchronization of weakly coupled neurons via inhibitory chemical synapses
AU - Li, Rui Xue
AU - Che, Yanqiu
AU - Hao, Ping
AU - Li, Xiao Qin
PY - 2014
Y1 - 2014
N2 - Inhibitory chemical coupling connections are ubiquitous in neuronal system. In this paper, we first reduce the complex neuronal dynamics to a simple phase model by means of phase-model reduction method. Then we examine the roles of time delays extensively on the synchronization properties by bifurcation analysis and numerical simulation. Finally, we identify the existence and the stability of various phase-locked states. Along with the expected phase and anti-phase synchronization regimes, we find the emergent phenomena that significantly influence the synchronization behavior.
AB - Inhibitory chemical coupling connections are ubiquitous in neuronal system. In this paper, we first reduce the complex neuronal dynamics to a simple phase model by means of phase-model reduction method. Then we examine the roles of time delays extensively on the synchronization properties by bifurcation analysis and numerical simulation. Finally, we identify the existence and the stability of various phase-locked states. Along with the expected phase and anti-phase synchronization regimes, we find the emergent phenomena that significantly influence the synchronization behavior.
UR - http://www.scopus.com/inward/record.url?scp=84896869044&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84896869044&partnerID=8YFLogxK
U2 - 10.4028/www.scientific.net/AMM.519-520.844
DO - 10.4028/www.scientific.net/AMM.519-520.844
M3 - Conference contribution
AN - SCOPUS:84896869044
SN - 9783038350194
T3 - Applied Mechanics and Materials
SP - 844
EP - 847
BT - Computer and Information Technology
T2 - 2013 International Forum on Computer and Information Technology, IFCIT 2013
Y2 - 24 December 2013 through 25 December 2013
ER -