Synchronization regimes in a map-based model neural network

被引：13
|
作者：
Agnes, E. J. [1 ]
Erichsen, R., Jr. [1 ]
Brunnet, L. G. [1 ]
机构：
[1] Univ Fed Rio Grande do Sul, Inst Fis, BR-91501970 Porto Alegre, RS, Brazil
来源：
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2010年 / 389卷 / 03期
关键词：
Neural networks; Synchronization; Dynamics; NEURONS; DYNAMICS; LATTICES; CHAOS; ORDER;
D O I：
10.1016/j.physa.2009.10.012
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
The dynamical activity of a neural network model composed of electrically connected map-based neurons is investigated. After detailing the behavior of the isolated neuron for a wide parameter range, collective network states are depicted using the activity, spatial correlation and time phase distribution as measures. A detailed discussion on the stability of global and partial synchronization states is presented. (C) 2009 Published by Elsevier B.V.
引用
收藏
页码：651 / 658
页数：8
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