Multistability and stable asynchronous periodic oscillations in a multiple-delayed neural system

被引:112
作者
Campbell, SA [1 ]
Ncube, I
Wu, J
机构
[1] Univ Waterloo, Dept Appl Math, Waterloo, ON N2L 3G1, Canada
[2] McGill Univ, Ctr Nonlinear Dynam Physiol & Med, Montreal, PQ H3G 1Y6, Canada
[3] York Univ, Dept Math & Stat, N York, ON M3J 1P3, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
neural networks; delay differential equations; phase-locked solutions; Floquet theory; stability; multistability;
D O I
10.1016/j.physd.2005.12.008
中图分类号
O29 [应用数学];
学科分类号
070104 [应用数学];
摘要
We consider a network of three identical neurons with multiple discrete signal transmission delays. The model for such a network is a system of nonlinear delay differential equations. After some consideration of the absolute synchronization of the system and the global attractivity of the zero solution, we present a detailed discussion about the boundaries of the stability region of the trivial solution. This allows us to determine the possible codimension one bifurcations which occur in the system. In particular, we show the existence of standard Hopf bifurcations giving rise to synchronized periodic solutions and of D-3 equivariant Hopf bifurcations giving rise to three types of periodic solutions: phase-locked, mirror-reflecting, and standing waves. Hopf-Hopf and Hopf-steady state bifurcations interactions are shown to exist and give rise to coexistence of stable synchronized and desynchronized solutions. Perturbation techniques coupled with the Floquet theory are used to determine the stability of the phase-locked oscillations. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:101 / 119
页数:19
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