Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/73196
Campo DC Valoridioma
dc.contributor.authorMoreno-Díaz, Robertoen_US
dc.contributor.authorBolívar Toledo, Olgaen_US
dc.date.accessioned2020-06-10T16:37:39Z-
dc.date.available2020-06-10T16:37:39Z-
dc.date.issued1993en_US
dc.identifier.isbn978-3-540-56798-1en_US
dc.identifier.issn0302-9743en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/73196-
dc.description.abstractThe search for mechanisms that allow invariant neuronal representations has been always of great interest since the achievement of invariances still is, at different levels, an open question in the theory of neuronal function. In this paper we present the formulation of a theoretical mechanism for visual representation which is invariant against general changes of light intensity. The model, which is an example of the interaction among Cybernetics, Systems Theory and Artificial Perception Systems, takes into account the different kinds of operations that so far have been described in different cells of the visual pathway and the biologic architecture that is necessary to perform them together with the necessary connections among processors. Structural basis of this schema in natural systems are found in Lateral geniculate Body. Finally, we include an example on Image Processing and a discussion on the conditions in which the model can be of practical use.en_US
dc.languageengen_US
dc.relation.ispartofLecture Notes in Computer Scienceen_US
dc.sourceMira J., Cabestany J., Prieto A. (eds) New Trends in Neural Computation. IWANN 1993. Lecture Notes in Computer Science, [ISSN 0302-9743], v. 686, p. 30-36. Springer, Berlin, Heidelberg. (Enero 1993)en_US
dc.subject120304 Inteligencia artificialen_US
dc.titleAn invariant representation mechanism after presynaptic inhibitionen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conferenceInternational Workshop on Artificial Neural Networks, IWANN 1993en_US
dc.identifier.doi10.1007/3-540-56798-4_120en_US
dc.identifier.scopus84979993201-
dc.contributor.authorscopusid24543463600-
dc.contributor.authorscopusid57190434893-
dc.identifier.eissn1611-3349-
dc.description.lastpage36en_US
dc.description.firstpage30en_US
dc.relation.volume686en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.identifier.eisbn978-3-540-47741-9-
dc.utils.revisionen_US
dc.date.coverdateEnero 1993en_US
dc.identifier.conferenceidevents121585-
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.orcid0000-0002-5314-6033-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.fullNameMoreno Díaz, Roberto-
crisitem.event.eventsstartdate09-06-1993-
crisitem.event.eventsenddate11-06-1993-
Colección:Actas de congresos
Vista resumida

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.