ICANN ’94 pp 443-446 | Cite as

An Efficient Method of Pattern Storage in the Hopfield Net

  • S. Coombes
  • J. G. Taylor
Conference paper


We discuss a new a method of endowing the Hopfield net with the properties of an associative memory. A set of N patterns (biased or unbiased) may be stored in a Hopfield network of N spins with a set of connections called inverse-Hebb couplings. Furthermore, an algorithm exists called the quadratic Oja algorithm which can enhance the basin of attraction of a subset of these stored patterns. Simulations show that the combination of the quadratic Oja algorithm with initial conditions given by the inverse-Hebb rule leads to a successful alternative to the traditional Gardner algorithm. Lastly, we introduce the hardware capable of a fast implementation of the inverse-Hebb rule.


Associative Memory Energy Landscape Matrix Inversion Fast Implementation Hopfield Network 
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 London Limited 1994

Authors and Affiliations

  • S. Coombes
    • 1
  • J. G. Taylor
    • 1
  1. 1.Centre for Neural NetworksKings CollegeLondonUK

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