Stabilization of Hebbian neural nets by inhibitory learning

DOI10.1007/BF00336182zbMath0552.92007OpenAlexW2026627891WikidataQ52277572 ScholiaQ52277572MaRDI QIDQ801838

Peter E. Gordon, Paul Easton

Publication date: 1984

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

Full work available at URL: https://doi.org/10.1007/bf00336182

zbMATH Keywords

stabilizationdifferential equationstensor invariantAnalytic solutions of the three layer systemcontinuously infinite set of equivalent solutionsdynamic feed-forwarddynamic recurrent inhibitionfeed-forward inhibitionHebbian neural modelsinhibitory learningmany neuron systemsmodifiable inhibitory synapsesmodifiable recurrent inhibitionno stable steady state solutionrotations of the state spacesimultaneously active pre- and postsynaptic neuronstime varying input

Mathematics Subject Classification ID

Physiological, cellular and medical topics (92Cxx)

Related Items (3)

Self-stabilization of neuronal networks. I. The compensation algorithm for synaptogenesis ⋮ A `morphogenetic' model of learning ⋮ An n-level field theory of biological neural networks

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