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dc.contributor.authorNedeltchev Koroutchev, Kostadin 
dc.contributor.authorKorutcheva, Elka
dc.contributor.otherUAM. Departamento de Ingeniería Informáticaes_ES
dc.date.accessioned2015-06-05T13:57:00Z
dc.date.available2015-06-05T13:57:00Z
dc.date.issued2006-03-02
dc.identifier.citationPhysical Review E 73.2 (2006): 026107en_US
dc.identifier.issn1539-3755 (print)en_US
dc.identifier.issn1550-2376 (online)en_US
dc.identifier.urihttp://hdl.handle.net/10486/666611
dc.description.abstractThe conditions for the formation of local bumps in the activity of binary attractor neural networks with spatially dependent connectivity are investigated. We show that these formations are observed when asymmetry between the activity during the retrieval and learning is imposed. An analytical approximation for the order parameters is derived. The corresponding phase diagram shows a relatively large and stable region where this effect is observed, although critical storage and information capacities drastically decrease inside that region. We demonstrate that the stability of the network, when starting from the bump formation, is larger than the stability when starting even from the whole pattern. Finally, we show a very good agreement between the analytical results and the simulations performed for different topologies of the network.en_US
dc.description.sponsorshipThe authors thank A. Treves and Y. Roudi for stimulating discussions at the early stage of work as well as the Abdus Salam Center for Theoretical Physics for financial support at the beginning of the present investigation. E.K. and K.K. also acknowledge financial support from Spanish Grant Nos. DGI.M.CyT.FIS2005-1729 and TIN 2004-07676-G01-01, respectively.en_US
dc.format.extent11 pág.es_ES
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherAmerican Physical Societyen_US
dc.relation.ispartofPhysical Review E - Statistical, Nonlinear, and Soft Matter Physicsen_US
dc.rights© 2006 American Physical Societyen_US
dc.titleBump formation in a binary attractor neural networken_US
dc.typearticleen_US
dc.subject.ecienciaInformáticaes_ES
dc.relation.publisherversionhttp://journals.aps.org/pre/abstract/10.1103/PhysRevE.73.026107
dc.identifier.doi10.1103/PhysRevE.73.026107
dc.identifier.publicationfirstpage026107
dc.identifier.publicationissue2
dc.identifier.publicationlastpage026107
dc.identifier.publicationvolume73
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.contributor.groupAprendizaje Automático (ING EPS-001)es_ES
dc.rights.accessRightsopenAccessen
dc.facultadUAMEscuela Politécnica Superior


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