Adaptive functional systems: Learning with chaos

DOI10.1063/1.3521250zbMath1311.37077OpenAlexW2089387042WikidataQ51617991 ScholiaQ51617991MaRDI QIDQ5251342

Mikhail S. Burtsev, Maxim Komarov, Grigory V. Osipov

Publication date: 20 May 2015

Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/ca9184affd744885ddcb2017d7d8a4b2e2e7c1b0

Mathematics Subject Classification ID

Dynamical systems in biology (37N25) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Perturbations in control/observation systems (93C73) Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45) Rationality and learning in game theory (91A26)

Cites Work

• HETEROCLINIC CONTOURS IN NEURAL ENSEMBLES AND THE WINNERLESS COMPETITION PRINCIPLE
• Real-Time Computation at the Edge of Chaos in Recurrent Neural Networks
• Winnerless competition principle and prediction of the transient dynamics in a Lotka–Volterra model
• On the origin of reproducible sequential activity in neural circuits
• Winnerless competition between sensory neurons generates chaos: A possible mechanism for molluscan hunting behavior

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