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A learning rule with generalized Hebbian synapses

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Publication:1856801
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DOI10.1016/S0022-247X(02)00263-9zbMath1015.92005MaRDI QIDQ1856801

James E. Jamison, Maria Fernanda Botelho

Publication date: 11 February 2003

Published in: Journal of Mathematical Analysis and Applications (Search for Journal in Brave)



Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Matrix equations and identities (15A24)


Related Items

Hebbian errors in learning: an analysis using the Oja model ⋮ Stability behavior for unsupervised learning ⋮ Multiple limit cycle bifurcations of the FitzHugh-Nagumo neuronal model ⋮ Input Statistics and Hebbian Cross-Talk Effects ⋮ Global analysis of planar neural networks ⋮ A discrete dynamical system as a model of a neural network with generalized Hebbian synapses



Cites Work

  • On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix
  • Self-organized formation of topologically correct feature maps
  • A simplified neuron model as a principal component analyzer
  • Self-organization and associative memory.
  • Elements of applied bifurcation theory.
  • Finite-Dimensional Hilbert Spaces
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