Neural networks under periodic operating conditions: Transitions between dynamic states

被引：0

作者：

Wang, LP ^{[1
]}

机构：

[1] Deakin Univ, Sch Comp & Math, Clayton, Vic 3168, Australia

来源：

PROCEEDINGS OF THE 19TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 19, PTS 1-6: MAGNIFICENT MILESTONES AND EMERGING OPPORTUNITIES IN MEDICAL ENGINEERING | 1997年 / 19卷

关键词：

neural networks; chaos; oscillations; nonlinear dynamics;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

We model the nonlinear dynamics of a neural system under time-dependent operating conditions by letting a system parameter vary periodically with time in a higher order neural network. We demonstrate explicitly that the varying operating environment can cause transitions between periodically oscillatory states and chaotic states. We discuss these results in relation to information processing in such systems.

引用

页码：2022 / 2025

页数：4

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