Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/57074
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dc.contributor.authorGarcía Santesmases, Joséen_US
dc.contributor.authorMoreno Díaz, Robertoen_US
dc.date.accessioned2019-10-14T18:37:24Z-
dc.date.available2019-10-14T18:37:24Z-
dc.date.issued1990en_US
dc.identifier.issn0214-932Xen_US
dc.identifier.otherDialnet
dc.identifier.urihttp://hdl.handle.net/10553/57074-
dc.description.abstractA neural model based on Pavlovian conditioning theories has been devised, which make use of irradiation of excitation to obtain nets verifying conditioned reflexes. The net consist of a set of concentrated-element lines, and the stimuli can propagate from line to another according to some conditioning rules. To that end, a cocupling among lines, that we have called Integrating Junction, has been stablished In the same way we have made use of the fact that sinaptic efficiency increases with using, to devise a second model with self -facilitation- i. e., it is just the same firing of the neuron what lowers the threshold. Both units have been made use of to obtain nets verifying a more complex form of conditioning, involving adaptation, remaining menory, stimuli discrimination etc.en_US
dc.languagespaen_US
dc.relation.ispartofInformática y automática: revista de la Asociación Española de Informática y Automáticaen_US
dc.sourceInformática y automática : revista de la Asociación Española de Informática y Automática [ISSN 0214-932X], v. 23 (2), p. 43-52en_US
dc.subject120304 Inteligencia artificialen_US
dc.titleNeuronas artificiales para la simulación del reflejo condicionadoen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.typeArticleen_US
dc.identifier.urlhttp://dialnet.unirioja.es/servlet/articulo?codigo=4079371-
dc.description.lastpage52-
dc.identifier.issue2-
dc.description.firstpage43-
dc.relation.volume23-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.contributor.authordialnetidNo ID-
dc.contributor.authordialnetid1213705-
dc.identifier.dialnet4079371ARTREV-
dc.identifier.ulpgces
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR IUCES: Computación inteligente, percepción y big data-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.fullNameMoreno Díaz,Roberto-
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