Interacting Brownian particles as a model of neural network

被引：2
|
作者：
Iwasaki, I
Nakajima, H
Shimizu, T
机构：
[1] Kokushikan Univ, Grad Sch Engn, Setagaya Ku, Tokyo 154, Japan
[2] Kokushikan Univ, Dept Elect Engn, Setagaya Ku, Tokyo 154, Japan
来源：
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS | 1998年 / 8卷 / 04期
关键词：
D O I：
10.1142/S0218127498000589
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
A model of neural network is proposed, in which the dynamics of the internal state of neurons is based on the Brownian motion with the chaotic force, and the bifurcation parameter of the chaotic force is modulated by the position of the Brownian particles. This model is applied to the associative memory problem. The parameter dependence of the dynamics is studied. It is shown that the model can retrieve all embedded patterns and reverse patterns successively. It is found that all neurons exhibit synchronized behavior while a pattern is retrieved.
引用
收藏
页码：791 / 797
页数：7
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