title: Stability and attractivity in associative memory networks.
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.
authors.affiliation: UA 743 CNRS Statistique Appliquée, Université Paris XI, Orsay, France.
authors.forename: M
authors.initials: M
authors.lastname: Cottrell
mesh_terms: D001244:Association; D003198:Computer Simulation; D006801:Humans; D008568:Memory / Q000502:physiology*; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D009424:Nervous System Physiological Phenomena