THE CNN PARADIGM: SHAPES AND COMPLEXITY

DOI10.1142/S0218127405013307zbMath1092.37537OpenAlexW2136061378MaRDI QIDQ5474278

Stefano Fazzino, Maide Bucolo, Luigi Fortuna, Paolo Arena, Mattia Frasca

Publication date: 23 June 2006

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

Full work available at URL: https://doi.org/10.1142/s0218127405013307

Mathematics Subject Classification ID

Dynamical systems in biology (37N25) Neural networks for/in biological studies, artificial life and related topics (92B20) Dynamic lattice systems (kinetic Ising, etc.) and systems on graphs in time-dependent statistical mechanics (82C20)

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Cites Work

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• A mathematical theory of visual hallucination patterns
• Cellular neural networks: theory
• The CNN paradigm
• MODELING COMPLEX DYNAMICS VIA EXTENDED PWL-BASED CNNs
• TESTING FOR LOCAL ACTIVITY AND EDGE OF CHAOS
• A simple generalized excitability model mimicking salient features of neuron dynamics

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