arXiv · cond-mat/0503374
System size resonance in an attractor neural network
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.
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M. A. de la Casa, E. Korutcheva, J. M. R. Parrondo, F. J. de la Rubia. 2005-03-15. System size resonance in an attractor neural network. https://doi.org/10.1103/physreve.72.031113
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