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dc.contributor.authorMontemurro, Marcelo A.pt_BR
dc.contributor.authorTamarit, Francisco A.pt_BR
dc.contributor.authorStariolo, Daniel Adrianpt_BR
dc.contributor.authorCannas, Sergio A.pt_BR
dc.date.accessioned2014-09-23T02:12:43Zpt_BR
dc.date.issued2000pt_BR
dc.identifier.issn1063-651Xpt_BR
dc.identifier.urihttp://hdl.handle.net/10183/103662pt_BR
dc.description.abstractIn this paper, we study numerically the out-of-equilibrium dynamics of the Hopfield model for associative memory inside its spin-glass phase. Aside from its interest as a neural network model, it can also be considered as a prototype of a fully connected magnetic system with randomness and frustration. By adjusting the ratio between the number of stored configurations p and the total number of neurons N, one can control the phase-space structure, whose complexity can vary between the simple mean-field ferromagnet (when p=1) and that of the Sherrington Kirkpatrick spin-glass model (for a properly taken limit of an infinite number of patterns). In particular, little attention has been devoted to the spin-glass phase of this model. In this paper, we analyze the two-time autocorrelation function, the decay of the magnetization and the distribution of overlaps between states. The results show that within the spin-glass phase of the model, the dynamics exhibits aging phenomena and presents features that suggest a non trivial breaking of replica symmetry.en
dc.format.mimetypeapplication/pdf
dc.language.isoengpt_BR
dc.relation.ispartofPhysical review. E. Statistical physics, plasmas, fluids, and related interdisciplinary topics. Melville. Vol. 62, no. 4 (Oct. 2000), p. 5721-5728pt_BR
dc.rightsOpen Accessen
dc.subjectFenomenos criticospt_BR
dc.subjectFerromagnetismopt_BR
dc.subjectMagnetizaçãopt_BR
dc.subjectVidros de spinpt_BR
dc.titleOut-of-equilibrium dynamics of the Hopfield model in its spin-glass phasept_BR
dc.typeArtigo de periódicopt_BR
dc.identifier.nrb000279143pt_BR
dc.type.originEstrangeiropt_BR


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