25 May 2004 System size resonance in attractor neural networks
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Proceedings Volume 5471, Noise in Complex Systems and Stochastic Dynamics II; (2004) https://doi.org/10.1117/12.547053
Event: Second International Symposium on Fluctuations and Noise, 2004, Maspalomas, Gran Canaria Island, Spain
Abstract
We consider the dynamics of an attractor neural network of a finite size N, trained with two patterns, which is subject to the action of an external stimulus (or field). This field drives the system to one of the patterns or to another for alternating intervals of duration T. It is observed that, for not too strong fields, the response of the network to the evolving field is optimal for some finite size, decreasing for smaller or larger systems. This is the so-called system size resonance, already reported for the Ising model. The explanation of this results is related to the phenomenon of stochastic resonance.
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Miguel A. de la Casa, Elka Korutcheva, Javier de la Rubia, and Juan M. R. Parrondo "System size resonance in attractor neural networks", Proc. SPIE 5471, Noise in Complex Systems and Stochastic Dynamics II, (25 May 2004); doi: 10.1117/12.547053; https://doi.org/10.1117/12.547053
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