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Stability and attractivity in associative memory networks
1UA 743 CNRS Statistique Appliquée, Université Paris XI, Orsay, France.
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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