Semiclassical Neural Network

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dc.creatorShafee, Fariel
dc.date2002-02-02
dc.date2004-06-25
dc.date.accessioned2026-07-07T08:35:37Z
dc.date.available2026-07-07T08:35:37Z
dc.descriptionWe have constructed a simple semiclassical model of neural network where neurons have quantum links with one another in a chosen way and affect one another in a fashion analogous to action potentials. We have examined the role of stochasticity introduced by the quantum potential and compare the system with the classical system of an integrate-and-fire model by Hopfield. Average periodicity and short term retentivity of input memory are noted.
dc.description8 pages 2 figures; new sections and figures added on short term memory and period
dc.identifierhttps://arxiv.org/abs/quant-ph/0202015
dc.identifierhttp://arxiv.org/abs/quant-ph/0202015
dc.identifierstochastics and dynamics, Vol. 7, No. 3 (2007) 403-416
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/139803
dc.subjectQuantum Physics
dc.subjectDisordered Systems and Neural Networks
dc.subjectArtificial Intelligence
dc.subjectQuantitative Biology
dc.titleSemiclassical Neural Network
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