Stability, bifurcation, and multistability in a system of two coupled neurons with multiple time delays

被引:207
|
作者
Shayer, LP [1 ]
Campbell, SA
机构
[1] Univ Waterloo, Dept Appl Math, Waterloo, ON N2L 3G1, Canada
[2] McGill Univ, Ctr Nonlinear Dynam Physiol & Med, Montreal, PQ H3A 2T5, Canada
关键词
neural network; time delay; bifurcation;
D O I
10.1137/S0036139998344015
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
A system of delay differential equations representing a model for a pair of neurons with time-delayed connections between the neurons and time delayed feedback from each neuron to itself is studied. Conditions for the linear stability of the trivial solution of this system are represented in a parameter space consisting of the sum of the time delays between the elements and the product of the strengths of the connections between the elements. It is shown that the trivial fixed point may lose stability via a pitchfork bifurcation, a Hopf bifurcation, or one of three types of codimension-two bifurcations. Multistability near these latter bifurcations is predicted using center manifold analysis and confirmed using numerical simulations.
引用
收藏
页码:673 / 700
页数:28
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