Shunting inhibitory cellular neural networks with chaotic external inputs

AKHMET M., Fen M. O.

CHAOS, vol.23, no.2, 2013 (SCI-Expanded) identifier identifier identifier

  • 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


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.