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- W1970036706 abstract "We introduce a neural network with the ability of recalling p non-random patterns displaying a hierarchical distribution of activities for all p⩽N − 1, N being the number of neurons. The stability of the retrieval states is studied as a function of temperature T and α = p/N. The temperature below which the patterns are retrievable states has been determined by computer simulations. The features of the memory stability are related to a weak correlation of the synaptic efficacy distribution." @default.
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- W1970036706 date "1998-01-01" @default.
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- W1970036706 title "Recalling properties of non-random patterns in neural networks A Monte-Carlo study" @default.
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- W1970036706 doi "https://doi.org/10.1016/s0378-4371(97)00499-8" @default.
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