Block activity in metric neural networks

González, Mario; Domínguez Carreta, David Renato; Rodríguez Ortiz, Francisco Borja

UAM_Biblioteca

dc.contributor.author	González, Mario
dc.contributor.author	Domínguez Carreta, David Renato
dc.contributor.author	Rodríguez Ortiz, Francisco Borja
dc.contributor.other	UAM. Departamento de Ingeniería Informática	es_ES
dc.date.accessioned	2015-04-29T16:42:59Z
dc.date.available	2015-04-29T16:42:59Z
dc.date.issued	2008-01-21
dc.identifier.citation	Proceedings of the World Academy of Science, Engineering and Technology 2.1 (2008): 823-826	en_US
dc.identifier.issn	2010-376X (print)	en_US
dc.identifier.issn	2010-3778 (online)	en_US
dc.identifier.uri	http://hdl.handle.net/10486/665675
dc.description.abstract	The model of neural networks on the small-world topology, with metric (local and random connectivity) is investigated. The synaptic weights are random, driving the network towards a chaotic state for the neural activity. An ordered macroscopic neuron state is induced by a bias in the network connections. When the connections are mainly local, the network emulates a block-like structure. It is found that the topology and the bias compete to influence the network to evolve into a global or a block activity ordering, according to the initial conditions.	en_US
dc.description.sponsorship	This work was supported by TIN 2004-04363-CO03-03, TIN 2007-65989 and CAM S-SEM-0255-2006.	en_US
dc.format.extent	4 pág.	es_ES
dc.format.mimetype	application/pdf	en
dc.language.iso	eng	en
dc.publisher	World Academy of Science, Engineering and Technology	en_US
dc.relation.ispartof	Proceedings of the World Academy of Science, Engineering and Technology	en_US
dc.rights	© 2008 World Academy of Science, Engineering and Technology	en_US
dc.subject.other	Block attractor	en_US
dc.subject.other	Random interaction	en_US
dc.subject.other	Small world	en_US
dc.subject.other	Spin glass	en_US
dc.title	Block activity in metric neural networks	en_US
dc.type	article	en_US
dc.subject.eciencia	Informática	es_ES
dc.relation.publisherversion	http://waset.org/Publication/block-activity-in-metric-neural-networks/14975
dc.identifier.publicationfirstpage	823
dc.identifier.publicationissue	1
dc.identifier.publicationlastpage	826
dc.identifier.publicationvolume	2
dc.relation.projectID	Comunidad de Madrid. S2006/SEM-0255/OLFACTOSENSE	es_ES
dc.type.version	info:eu-repo/semantics/publishedVersion	en
dc.contributor.group	Neurocomputación Biológica (ING EPS-005)	es_ES
dc.rights.cc	Reconocimiento	es_ES
dc.rights.accessRights	openAccess	en
dc.facultadUAM	Escuela Politécnica Superior