MULTISTATE ASSOCIATIVE MEMORY WITH PARAMETRICALLY COUPLED MAP NETWORKS

DOI10.1142/S0218127405012673zbMath1089.37053MaRDI QIDQ5702221

Gouhei Tanaka, Kazuyuki Aihara

Publication date: 1 November 2005

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

zbMATH Keywords

chaotic dynamicsbifurcationscoupled mapsAssociative memorymultistate neural networks

Mathematics Subject Classification ID

Neural biology (92C20) Dynamical systems in biology (37N25) Neural networks for/in biological studies, artificial life and related topics (92B20) Dynamical systems involving maps of the circle (37E10)

Related Items (1)

TWO-DIMENSIONAL COUPLED PARAMETRICALLY FORCED MAP

Cites Work

• Unnamed Item
• Globally coupled circle maps
• Associative dynamics in a chaotic neural network.
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• Bifurcating neuron: Computation and learning
• A neural network model as a globally coupled map and applications based on chaos
• Overview of coupled map lattices
• Neural networks and physical systems with emergent collective computational abilities.
• On a response characteristic of a mathematical neuron model

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