Physical models of cognition

DOI10.1007/BF01882756zbMath0821.92028MaRDI QIDQ1330114

Michail Zak

Publication date: 15 August 1994

Published in: International Journal of Theoretical Physics (Search for Journal in Brave)

zbMATH Keywords

random walksexplanationNewtonian mechanicscognitioninformation fusionnondeterministicterminal chaosstochastic attractorspontaneouscollective brainneural intelligencefuzzy objectivesmodeling of coordinationmodeling of information flowsterminal dynamicsterminal neurodynamics

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Cognitive psychology (91E10) Applications of dynamical systems (37N99) Dynamical aspects of finite-dimensional Hamiltonian and Lagrangian systems (37J99) Lagrange's equations (70H03)

Related Items (4)

Unpredictable dynamics and collective brain ⋮ A Markovian formalization of heart rate dynamics evinces a quantum-like hypothesis ⋮ Physical invariants of biosignatures ⋮ Dynamical simulations of probabilities

Cites Work

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• Terminal chaos for information processing in neurodynamics
• Creative dynamics approach to neural intelligence
• The problem of irreversibility in Newtonian dynamics
• Terminal model of Newtonian dynamics
• Neurodynamics with spatial self-organizations
• Weakly connected neural nets
• Order and chaos in neural systems: An approach to the dynamics of higher brain functions
• A logical calculus of the ideas immanent in nervous activity

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