System size resonance in an attractor neural network
classification
❄️ cond-mat.stat-mech
cond-mat.dis-nn
keywords
systemsizeattractornetworkneuralresonanceamplificationattractors
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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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