Noise and synchronization in chaotic neural networks

被引：22

作者：

Shuai, JW ^{[1
]}

Wong, KW

机构：

[1] City Univ Hong Kong, Dept Elect Engn, Hong Kong, Peoples R China

[2] Xiamen Univ, Dept Phys, Xiamen 361005, Peoples R China

来源：

PHYSICAL REVIEW E | 1998年 / 57卷 / 06期

关键词：

D O I：

10.1103/PhysRevE.57.7002

中图分类号：

O35 [流体力学]; O53 [等离子体物理学];

学科分类号：

070204 ; 080103 ; 080704 ;

摘要：

We show that two identical fully connected chaotic neural networks can always achieve a stochastic synchronization state when linked with a sufficiently large common noise. This is the case for both low-dimensional hyperchaos and high-dimensional spatiotemporal chaos. When the parameters of the two driven systems possess a tiny difference, weakly noise-induced synchronization is obtained. Unstable finite-precision synchronization of chaos with positive conditional Lyapunov exponent is also observed. It is caused by the on-off synchronizing intermittent dynamics.

引用

页码：7002 / 7007

页数：6

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