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Stability and Hopf Bifurcation of Fractional-Order Complex-Valued Single Neuron Model with Time Delay.

Authors :
Wang, Zhen
Wang, Xiaohong
Li, Yuxia
Huang, Xia
Source :
International Journal of Bifurcation & Chaos in Applied Sciences & Engineering; Dec2017, Vol. 27 Issue 13, p-1, 13p
Publication Year :
2017

Abstract

In this paper, the problems of stability and Hopf bifurcation in a class of fractional-order complex-valued single neuron model with time delay are addressed. With the help of the stability theory of fractional-order differential equations and Laplace transforms, several new sufficient conditions, which ensure the stability of the system are derived. Taking the time delay as the bifurcation parameter, Hopf bifurcation is investigated and the critical value of the time delay for the occurrence of Hopf bifurcation is determined. Finally, two representative numerical examples are given to show the effectiveness of the theoretical results. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02181274
Volume :
27
Issue :
13
Database :
Complementary Index
Journal :
International Journal of Bifurcation & Chaos in Applied Sciences & Engineering
Publication Type :
Academic Journal
Accession number :
127071908
Full Text :
https://doi.org/10.1142/S0218127417502091