System-size resonance in a binary attractor neural network.

M A de la Casa; E Korutcheva; J M R Parrondo; F J de la Rubia

doi:10.1103/physreve.72.031113

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System-size resonance in a binary attractor neural network.

M A de la Casa·E Korutcheva·J M R Parrondo·F J de la Rubia

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Abstract

System size resonance (SSR) is a phenomenon in which the response of a system is optimal for a certain finite size, but poorer as the size goes to zero or infinity. In order to show SSR effects in binary attractor neural networks, we study the response of a network, in the ferromagnetic phase, to an external, time-dependent stimulus. Under the presence of such a stimulus, the network shows SSR, as is demonstrated by the measure of the signal amplification both analytically and by simulation.

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M A de la Casa, E Korutcheva, J M R Parrondo, F J de la Rubia. 2005-09-30. System-size resonance in a binary attractor neural network.. https://doi.org/10.1103/physreve.72.031113

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