Synchronization of locally coupled neural oscillators

被引：18
|
作者：
Dragoi, V [1 ]
Grosu, I [1 ]
机构：
[1] MIT, Dept Brain & Cognit Sci, Cambridge, MA 02139 USA
来源：
NEURAL PROCESSING LETTERS | 1998年 / 7卷 / 03期
关键词：
asymptotic stability; Fitzhugh-Nagumo model; local connections; neural networks; oscillations; synchronization;
D O I：
10.1023/A:1009618318908
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A new method of controlling Fitzhugh-Nagumo (F-N) neural oscillators, Fitzhugh [1], with local coupling is presented. It is proved that through the use of an additive closed-loop controlling action that entrains each neural oscillator to a 'goal' behavior, necessary and sufficient conditions for the occurrence of synchronization in networks of unidirectionally self-connected neural oscillators are obtained in terms of asymptotic stability. These conditions suggest that rapid global synchronization can be achieved using sufficiently strong local inhibitory connections.
引用
收藏
页码：199 / 210
页数：12
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