DMFT for coevolving Hopfield network shows moderate plasticity stabilizes retrieval via positive delayed feedback while excessive plasticity imprints the initial cue and creates spurious attractors.
A well-conditioned estimator for large-dimensional covariance matrices
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DMFT analysis of Hopfield network with plasticity
DMFT for coevolving Hopfield network shows moderate plasticity stabilizes retrieval via positive delayed feedback while excessive plasticity imprints the initial cue and creates spurious attractors.