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Determining The Dynamic Landscape Of Hopfield Networks

  • Gérard Weisbuch
  • Dominique D’humieres
Conference paper
  • 169 Downloads
Part of the NATO ASI Series book series (volume 20)

Abstract

The purpose of this paper is to describe in a semi-quantitative manner the basins of attraction of the original Hopfield (1982) networks.

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References

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    J.J. Hopfield (1982): Neural networks with emergent collective computational abilities. Proc.Nat.Acad.Sc. USA, 79, pp. 2554–2558.CrossRefMathSciNetGoogle Scholar
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    G. Weisbuch, F. Fogelman-Soulie (1985): Scaling laws for the attractors of Hopfield networks. Lettres au Journal de Physique, 46, pp. 623–630.CrossRefGoogle Scholar
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    D.J. Amit, H. Gutfreund and H. Sompolinsky (1985): Spin glass models of neural networks. Phys. Rev. A, 32, pp. 1007–1018.CrossRefMathSciNetGoogle Scholar
  4. D.J. Amit, H. Gutfreund and H. Sompolinsky (1985): Storing infinite number of patterns in a spin glass models of neural networks. Phys. Rev. Lett., 55, pp. 1530–1533.CrossRefGoogle Scholar
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    W. Kinzel (1985) Learning and pattern recognition in spin glass models, Z. Phys. B 60, pp.205–213.CrossRefMathSciNetGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1986

Authors and Affiliations

  • Gérard Weisbuch
    • 1
  • Dominique D’humieres
    • 1
  1. 1.Laboratoire de Physique de l’Ecole Normale SupérieureParis Cedex 5France

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