System size resonance in an attractor neural network

Physics – Condensed Matter – Statistical Mechanics

Scientific paper

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7 pages, 9 figures, submitted to Europhys. Lett

Scientific paper

10.1103/PhysRevE.72.031113

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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