Shunting inhibitory cellular neural networks with chaotic external inputs
CHAOS, vol.23, no.2, 2013 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 23 Issue: 2
- Publication Date: 2013
- Doi Number: 10.1063/1.4805022
- Journal Name: CHAOS
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- TED University Affiliated: No
Abstract
Taking advantage of external inputs, it is shown that shunting inhibitory cellular neural networks behave chaotically. The analysis is based on the Li-Yorke definition of chaos. Appropriate illustrations which support the theoretical results are depicted. (C) 2013 AIP Publishing LLC.