DYNAMICS IN A CLASS OF NEURON MODELS

被引:0
|
作者
Wang Junping (Dept. of Math. and Physics
机构
关键词
discrete-time neuron model; periodic activation function; periodic-doubling bifurcation; anti-integrable limit method; chaos;
D O I
暂无
中图分类号
O175 [微分方程、积分方程];
学科分类号
070104 ;
摘要
In this paper, we investigate the dynamics in a class of discrete-time neuron mod-els. The neuron model we discussed, defined by such periodic input-output mapping as a sinusoidal function, has a remarkably larger memory capacity than the conven-tional association system with the monotonous function. Our results show that the orbit of the model takes a conventional bifurcation route, from stable equilibrium, to periodicity, even to chaotic region. And the theoretical analysis is verified by numerical simulations.
引用
收藏
页码:67 / 73
页数:7
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