Hopf bifurcation analysis of reaction-diffusion neural oscillator system with excitatory-to-inhibitory connection and time delay

被引:27
作者
Dong, Tao [1 ]
Xu, Weiyi [1 ]
Liao, Xiaofeng [1 ]
机构
[1] Southwest Univ, Coll Elect & Informat Engn, Chongqing 400715, Peoples R China
基金
中国国家自然科学基金;
关键词
Reaction-diffusion; Excitatory-to-inhibitory connection; Hopf bifurcation; Stability; MULTISTABILITY COEXISTENCE; STABILITY; NETWORKS; SYNCHRONIZATION; MODEL; DYNAMICS;
D O I
10.1007/s11071-017-3589-8
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
In this paper, the dynamic behaviors of coupled reaction-diffusion neural oscillator system with excitatory-to-inhibitory connection and time delay under the Neumann boundary conditions are investigated. By constructing a basis of phase space based on the eigenvectors of Laplace operator, the characteristic equation of this system is obtained. Then, the local stability of zero solution and the occurrence of Hopf bifurcation are established by regarding the time delay as the bifurcation parameter. In particular, by using the normal form theory and center manifold theorem of the partial differential equation, the normal forms are obtained, which determine the bifurcation direction and the stability of the periodic solutions. Finally, two examples are given to verify the theoretical results.
引用
收藏
页码:2329 / 2345
页数:17
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