DYNAMICS IN A CLASS OF NEURON MODELS

被引：0
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作者：
Wang Junping Dept of Math and Physics Shanghai University of Electric Power Shanghai Ruan Jiong School of Math Sciences Fudan University Shanghai [200090 ,200433 ]
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来源：
Annals of Differential Equations | 2009年 / 25卷 / 01期
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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.
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页码：67 / 73
页数：7
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