Cellular Neural Networks with Transient Chaos

Lipo Wang, Wen Liu, Haixiang Shi

Research output: Contribution to journalArticlepeer-review

33 Citations (Scopus)


A new model of cellular neural networks (CNNs) with transient chaos is proposed by adding negative self-feedbacks into CNNs after transforming the dynamic equation to discrete time via Euler's method. The simulation on the single neuron model shows stable fix points, bifurcation and chaos. Hence, this new CNN model has richer and more flexible dynamics, and therefore may possess better capabilities of solving various problems, compared to the conventional CNN with only stable dynamics.

Original languageEnglish
Pages (from-to)440-444
Number of pages5
JournalIEEE Transactions on Circuits and Systems II: Express Briefs
Issue number5
Publication statusPublished - 7 May 2007
Externally publishedYes


  • Bifurcation
  • cellular neural networks (CNNs)
  • chaos

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