System-size resonance in a binary attractor neural network
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Published on: March 2, 2015
M A de la Casa1, E Korutcheva, J M R Parrondo
1Departamento Física Fundamental, Universidad Nacional de Educación a Distancia, c/Senda del Rey 9, 28080 Madrid, Spain. macasa@fisfun.uned.es
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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