Attractors in continuous-time switching networks

被引:11
|
作者
Gedeon, T [1 ]
机构
[1] Montana State Univ, Dept Math Sci, Bozeman, MT 59715 USA
关键词
attractors; continuous-time switching networks; additive neural networks;
D O I
10.3934/cpaa.2003.2.187
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We consider a system of equations with discontinuous right hand side, which arise as models of gene and neural networks. We study attractors in R-4 which lie in a set of orthants in the form of figure eight. We find that if the attractor is symmetric with respect to these two loops, then the only possible attractor is a periodic orbit which traverses both loops once. We show that without the symmetry the set of admissible attractors include periodic orbits which follow one loop k times and other loop once, for any k. However, we also show that no trajectory in an attractor can traverse both loops more then once in a row.
引用
收藏
页码:187 / 209
页数:23
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