Li-Yorke chaos generation by SICNNs with chaotic/almost periodic postsynaptic currents
详细信息 查看全文
- 作者：Marat Akhmeta ; marat@metu.edu.tr" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Mehmet Onur Fenb ; monur.fen@gmail.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Ayşegü ; l Kıvılcıma ; kivilcim@metu.edu.tr" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Almost periodic inputs and outputs ; Chaotic continuous/discrete-time external inputs ; Discontinuous almost periodic postsynaptic currents ; Li-Yorke chaos ; Shunting inhibitory cellular neural networks
- 刊名：Neurocomputing
- 出版年：2016
- 出版时间：15 January 2016
- 年：2016
- 卷：173
- 期：part_P3
- 页码：580-594
- 全文大小：1328 K
文摘
- •
SICNNs with Li-Yorke chaotic inputs and outputs are considered.
- •
The chaos is with infinitely many almost periodic motions in basis.
- •
A special set of piecewise continuous postsynaptic input currents is applied.
- •
Stabilization of unstable almost periodic solutions is demonstrated.
- •
The results may be important for investigations of brain functioning.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |