title: System-size resonance in a binary attractor neural network.
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.
authors.affiliation: Departamento Física Fundamental, Universidad Nacional de Educación a Distancia, c/Senda del Rey 9, 28080 Madrid, Spain. macasa@fisfun.uned.es
authors.forename: M A
authors.initials: MA
authors.lastname: de la Casa
authors.forename: E
authors.initials: E
authors.lastname: Korutcheva
authors.forename: J M R
authors.initials: JM
authors.lastname: Parrondo
authors.forename: F J
authors.initials: FJ
authors.lastname: de la Rubia
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000818:Animals; D001683:Biological Clocks / Q000502:physiology*; D003198:Computer Simulation; D006801:Humans; D008568:Memory / Q000502:physiology*; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D009474:Neurons / Q000502:physiology*; D009435:Synaptic Transmission / Q000502:physiology*