Oscillator neural network model with distributed native frequencies

DOI10.1088/0305-4470/32/19/305zbMath1026.82529arXivcond-mat/9901301OpenAlexW2762892468MaRDI QIDQ4951087

Masatoshi Shiino, Masahiko Yoshioka, Michiko Yamana

Publication date: 1 May 2000

Published in: Journal of Physics A: Mathematical and General (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/cond-mat/9901301

zbMATH Keywords

phase diagramassociative memoryoscillator neural networkHebb learning rule with random patterns

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Neural nets applied to problems in time-dependent statistical mechanics (82C32)

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Oscillatory associative memory network with perfect retrieval ⋮ Pattern recognition with simple oscillating circuits ⋮ Pattern recognition minimizes entropy production in a neural network of electrical oscillators ⋮ Layered neural network with intra-layer connections using Q-states clock neurons ⋮ Stability and Long Term Behavior of a Hebbian Network of Kuramoto Oscillators

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