Amoeba-based chaotic neurocomputing: combinatorial optimization by coupled biological oscil\-lators

DOI10.1007/s00354-008-0058-4zbMath1193.92001OpenAlexW2091941292MaRDI QIDQ1031928

Kazuyuki Aihara, Masahiko Hara, Masashi Aono, Yoshito Hirata

Publication date: 23 October 2009

Published in: New Generation Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00354-008-0058-4

zbMATH Keywords

coupled oscillatorschaotic neural networkchaotic itinerancymultilevel self-organizationself-disciplined computing

Mathematics Subject Classification ID

Neural biology (92C20) Dynamical systems in biology (37N25) Neural networks for/in biological studies, artificial life and related topics (92B20) Theory of computing (68Q99)

Related Items

Frustration induced transient chaos, fractal and riddled basins in coupled limit cycle oscillators ⋮ Greedy versus social: resource-competing oscillator network as a model of amoeba-based neurocomputer ⋮ Solubility and stability of recurrent neural networks with nonlinearity or time-varying delays ⋮ Spontaneous mode switching in coupled oscillators competing for constant amounts of resources

Uses Software

• TISEAN

Cites Work

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