Greedy versus social: resource-competing oscillator network as a model of amoeba-based neurocomputer

DOI10.1007/s11047-010-9224-yzbMath1251.68101OpenAlexW2075469156MaRDI QIDQ1761689

Kazuyuki Aihara, Masahiko Hara, Masashi Aono, Yoshito Hirata

Publication date: 15 November 2012

Published in: Natural Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11047-010-9224-y

zbMATH Keywords

chaosneural networkcoupled oscillatorsresource allocationphysarum polycephalum

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural biology (92C20)

Related Items (1)

Physarum in silicon: the Greek motorways study

Cites Work

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• Amoeba-based chaotic neurocomputing: combinatorial optimization by coupled biological oscil\-lators
• The symmetry perspective. From equilibrium to chaos in phase space and physical space
• Rules for Biologically Inspired Adaptive Network Design
• Resource-Competing Oscillator Network as a Model of Amoeba-Based Neurocomputer
• Amoeba-Based Nonequilibrium Neurocomputer Utilizing Fluctuations and Instability
• Spontaneous mode switching in coupled oscillators competing for constant amounts of resources
• Algorithmic Game Theory
• Chaotic itinerancy
• Elements of applied bifurcation theory

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