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- W2074777079 abstract "In this work we study the storage capacity of an extreme and asymmetrically diluted version of the Hopfield model for associative memory when the effect of the refractory periods of the neurons is included through a time dependent threshold. We develop a new dynamical approach that allows us to take into account, in an approximative way, the dependence of the system on its whole history. We also compare our analytical results with those obtained through a very extensive numerical simulation." @default.
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- W2074777079 date "1999-09-01" @default.
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- W2074777079 title "Recognition ability in a biologically motivated neural network" @default.
- W2074777079 doi "https://doi.org/10.1016/s0010-4655(99)00290-8" @default.
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