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Collective Computation With Continuous Variables

  • J. J. Hopfield
  • D. W. Tank
Conference paper
Part of the NATO ASI Series book series (volume 20)

Abstract

The model on which collective computation in neural networks was originally shown to produce a content addressable memory was based on neurons with two discrete states (1) (or levels of activity) which might be thought of as “0” and “1”. That model involved an asynchronous updating of the state of each neuron, and could be closely related to aspects of magnetic Ising systems. The role of exchange in the magnetic system is played by the connections between the neurons in the biological system.

Keywords

Energy Function Travel Salesman Problem Spin Glass Graph Link Steep Descent Path 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1986

Authors and Affiliations

  • J. J. Hopfield
    • 1
    • 2
  • D. W. Tank
    • 2
  1. 1.Divisions of Chemistry and BiologyCalifornia Institute of TechnologyPasadenaUSA
  2. 2.AT & T Bell Telephone LaboratoriesMurray HillUSA

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