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Sequences in neural networks with temporal association
Authors:Germán Mato  Néstor Parga
Institution:(1) Present address: Centro Atómico Bariloche, Comisión Nacional de Energia Atómica, 8400 S.C. de Bariloche, Rio Negro, Argentina;(2) Departmento de Fisica Teórica, Universidad Autónoma de Madrid, E-28049 Madrid, Spain
Abstract:We solve the dynamics of the strongly diluted version of a model recently proposed by Herz et al. to store sequences of patterns with spatio-temporal retrieval properties. We analyze the spurious sequence solutions and we find the region in the (agr,T) plane where the only relevant attractors are the learnt cycles.
Keywords:
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