dc.contributor.author | Nedeltchev Koroutchev, Kostadin | |
dc.contributor.author | Korutcheva, Elka | |
dc.contributor.other | UAM. Departamento de Ingeniería Informática | es_ES |
dc.date.accessioned | 2015-06-05T13:57:00Z | |
dc.date.available | 2015-06-05T13:57:00Z | |
dc.date.issued | 2006-03-02 | |
dc.identifier.citation | Physical Review E 73.2 (2006): 026107 | en_US |
dc.identifier.issn | 1539-3755 (print) | en_US |
dc.identifier.issn | 1550-2376 (online) | en_US |
dc.identifier.uri | http://hdl.handle.net/10486/666611 | |
dc.description.abstract | The 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.sponsorship | The 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.extent | 11 pág. | es_ES |
dc.format.mimetype | application/pdf | en |
dc.language.iso | eng | en |
dc.publisher | American Physical Society | en_US |
dc.relation.ispartof | Physical Review E - Statistical, Nonlinear, and Soft Matter Physics | en_US |
dc.rights | © 2006 American Physical Society | en_US |
dc.title | Bump formation in a binary attractor neural network | en_US |
dc.type | article | en_US |
dc.subject.eciencia | Informática | es_ES |
dc.relation.publisherversion | http://journals.aps.org/pre/abstract/10.1103/PhysRevE.73.026107 | |
dc.identifier.doi | 10.1103/PhysRevE.73.026107 | |
dc.identifier.publicationfirstpage | 026107 | |
dc.identifier.publicationissue | 2 | |
dc.identifier.publicationlastpage | 026107 | |
dc.identifier.publicationvolume | 73 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | en |
dc.contributor.group | Aprendizaje Automático (ING EPS-001) | es_ES |
dc.rights.accessRights | openAccess | en |
dc.facultadUAM | Escuela Politécnica Superior | |