Chaotic behavior in neural networks and FitzHugh-Nagumo neuronal model

被引：0
|
作者：
Mishra, D [1 ]
Yadav, A [1 ]
Kalra, PK [1 ]
机构：
[1] Indian Inst Technol, Dept Elect Engn, Kanpur 208016, Uttar Pradesh, India
来源：
NEURAL INFORMATION PROCESSING | 2004年 / 3316卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
There has been a lot of discussion about whether chaos theory can be applied to the dynamics of the brain. It is obvious that nonlinear mechanisms are crucial in neural systems and also it has been established from various experiments that neuronal activities and EEG recordings show many characteristics of chaotic behavior. Chaotic behavior of a three-dimensional neural network representing nonlinear dynamics of local-averaged spike-rate in neurons is investigated. The same study has been carried out to investigate chaos in FitzHugh-Nagumo neuronal model. It was found that these models exhibit chaotic dynamics at some parametric values.
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页码：868 / 873
页数：6
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