Terminal chaos for information processing in neurodynamics

DOI10.1007/BF00199599zbMath0715.92002OpenAlexW2009609400WikidataQ46469641 ScholiaQ46469641MaRDI QIDQ752025

Michail Zak

Publication date: 1991

Published in: Biological Cybernetics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf00199599

zbMATH Keywords

generalizationabstractionLipschitz conditioninformation processingcognitive processeschaotic states of neurons activityequilibrium points of dynamical systemsterminal chaos

Mathematics Subject Classification ID

Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20) Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45)

Related Items (5)

Unpredictable dynamics and collective brain ⋮ Physical models of cognition ⋮ The problem of irreversibility in Newtonian dynamics ⋮ On the constructive role of noise in stabilizing itinerant trajectories in chaotic dynamical systems ⋮ Terminal model of Newtonian dynamics

Cites Work

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• Non-Lipschitzian dynamics for neural net modelling
• Chaos as a part of logical structure in neurodynamics
• Creative dynamics approach to neural intelligence
• ``Neural computation of decisions in optimization problems
• Weakly connected neural nets
• Order and chaos in neural systems: An approach to the dynamics of higher brain functions
• Mathematical Aspects of Hodgkin-Huxley Neural Theory

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