System size resonance in an attractor neural network
Statistical Mechanics
2009-11-11 v1 Disordered Systems and Neural Networks
Abstract
We study the response of an attractor neural network, in the ferromagnetic phase, to an external, time-dependent stimulus, which drives the system periodically two different attractors. We demonstrate a non-trivial dependance of the system via a system size resonance, by showing a signal amplification maximum at a certain finite size.
Keywords
Cite
@article{arxiv.cond-mat/0503374,
title = {System size resonance in an attractor neural network},
author = {M. A. de la Casa and E. Korutcheva and J. M. R. Parrondo and F. J. de la Rubia},
journal= {arXiv preprint arXiv:cond-mat/0503374},
year = {2009}
}
Comments
7 pages, 9 figures, submitted to Europhys. Lett