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Stability and attractivity in associative memory networks

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Abstract

We focus on stable and attractive states in a network having two-state neuron-like elements. We calculate the connection matrix which guarantees the stability and the strongest attractivity of p memorized patterns. We present an analytical evaluation of the patterns' attractivity. These results are illustrated by some computer simulations.

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Authors and Affiliations

  1. UA 743 CNRS Statistique Appliquée, Laboratoire de Mathémaque Bât. 425, Université Paris XI, F-91405, Orsay Cedex, France

    M. Cottrell

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  1. M. Cottrell
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Cottrell, M. Stability and attractivity in associative memory networks. Biol. Cybern. 58, 129–139 (1988). https://doi.org/10.1007/BF00364159

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  • DOI: https://doi.org/10.1007/BF00364159

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