Work

System-size resonance in a binary attractor neural network

Year: 2005

Type: article

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.

Source: Physical Review E

DOI: 10.1103/physreve.72.031113

Authors: M. A. de la Casa, E. Korutcheva, J. M. R. Parrondo, F. J. de la Rubia

Institutions: Universidad Nacional de Educación a Distancia, Universidad Complutense de Madrid

Language: English

Topic: Theoretical and Computational Physics

Subfield: Condensed Matter Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2086839624

FWCI: 0.774

Cites: 29

Cited by: 5

Related to: 10