Nonlinear neural networks. I: General theory.

DOI10.1007/BF01022994zbMath1085.82504MaRDI QIDQ1963615

J. Leo van Hemmen, D. Grensing, A. Huber, Reimer Kühn

Publication date: 2 February 2000

Published in: Journal of Statistical Physics (Search for Journal in Brave)

zbMATH Keywords

Neural networksspin glassesspectral theorylearning rulesclipped and other nonlinear synapsessynaptic kernel

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Neural nets applied to problems in time-dependent statistical mechanics (82C32)

Related Items (4)

A biologically motivated and analytically soluble model of collective oscillations in the cortex. I. Theory of weak locking ⋮ Information processing in three-state neural networks ⋮ Some rigorous results on the Hopfield neural network model ⋮ A neural network model of a communication network with information servers

Cites Work

• The existence of persistent states in the brain
• Collective properties of neural networks: A statistical physics approach
• Neural networks and physical systems with emergent collective computational abilities.
• A logical calculus of the ideas immanent in nervous activity

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