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CNN DYNAMICS REPRESENTS A BROADER CLASS THAN PDEs

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Publication:4736282
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DOI10.1142/S0218127402005868zbMath1051.34037MaRDI QIDQ4736282

Pier Paolo Civalleri, Marco Gilli, Leon O. Chua, Tamás Roska

Publication date: 9 August 2004

Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)


zbMATH Keywords

cellular neural networkspartial differential equationcellular nonlinear networks


Mathematics Subject Classification ID

Partial functional-differential equations (35R10) Cellular automata (computational aspects) (68Q80) Dynamical aspects of cellular automata (37B15) Approximation methods and numerical treatment of dynamical systems (37M99) Equivalence and asymptotic equivalence of ordinary differential equations (34C41)


Related Items

Computational Modeling for One-Dimensional Distributed Parameter Systems ⋮ GENERALIZED CELLULAR NEURAL NETWORKS (GCNNs) CONSTRUCTED USING PARTICLE SWARM OPTIMIZATION FOR SPATIO-TEMPORAL EVOLUTIONARY PATTERN IDENTIFICATION ⋮ Turing Instability and Hopf Bifurcation in Cellular Neural Networks



Cites Work

  • Propagation and Its Failure in Coupled Systems of Discrete Excitable Cells
  • Cellular neural networks: theory
  • The CNN paradigm
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