Computational modeling of evolutionary learning processes in the brain

DOI10.1007/BF02458823zbMATH Open0526.92007OpenAlexW1973294680WikidataQ48821477 ScholiaQ48821477MaRDI QIDQ594800

Roberto R. Kampfner, Michael Conrad

Publication date: 1983

Published in: Bulletin of Mathematical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02458823

zbMATH Keywords

networksredundancyenzymatic neuronsevolutionary learning processesevolutionary selection circuits modelexcitasesfiring propertiesLISP-structuresrecombination of traits

Mathematics Subject Classification ID

Adaptive control/observation systems (93C40) Control/observation systems governed by ordinary differential equations (93C15) Other natural sciences (mathematical treatment) (92F05) Physiological, cellular and medical topics (92Cxx)

Cites Work

• Computational modeling of evolutionary learning processes in the brain
• Some Remarks on Analytic Representations and Products of Distributions
• Title not available (Why is that?)
• Title not available (Why is that?)

Related Items (6)

Computational modeling of evolutionary learning processes in the brain ⋮ Evolutionary learning in reaction-diffusion neurons ⋮ Forms of life: Unprogrammability constitutes the outside of a system and its autonomy ⋮ Autonomous Evolution of Topographic Regularities in Artificial Neural Networks ⋮ Sequential behavior and stability properties of enzymatic neuron networks ⋮ The enzymatic neuron as a reaction-diffusion network of cyclic nucleotides

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