LYAPUNOV EXPONENTS AND DIMENSIONS OF CHAOTIC NEURAL NETWORKS

被引：15

作者：

BAUER, M

MARTIENSSEN, W

机构：

[1] Phys. Inst., Frankfurt Univ.

来源：

JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL | 1991年 / 24卷 / 19期

关键词：

D O I：

10.1088/0305-4470/24/19/019

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

Dynamical properties of a network model composed of N continuous elements with randomly chosen asymmetrical couplings and reduced connectivity are studied. We calculate numerically Lyapunov exponents and dimensions for chaotic and non-chaotic states of the network. The dependence on the parameters can be described analytically, in good agreement with the numerical data.

引用

页码：4557 / 4566

页数：10

共 37 条

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