Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/42745
Campo DC Valoridioma
dc.contributor.authorBolívar Toledo, O.en_US
dc.contributor.authorQuevedo Losada, J. C.en_US
dc.contributor.authorMunoz Blanco, J. A.en_US
dc.date.accessioned2018-11-21T10:55:56Z-
dc.date.available2018-11-21T10:55:56Z-
dc.date.issued2003en_US
dc.identifier.issn0232-9298en_US
dc.identifier.urihttp://hdl.handle.net/10553/42745-
dc.description.abstractPerceptual Systems are here understood in the sense of Minsky and therefore are structures having three parts: a multisensorial structure facing the environment which provides data fields, a transformation structure acting on data fields through operations which range from analytical to algorithmic, and a projection structure where a dynamic sensory model of the environment is built. Within this context, Mira and Moreno-Díaz, have laid the foundations for the development of a general and theoretical frame, which is very useful not only in the interpretation of neural function but also in the generation and description of Transformations in Artificial Vision. Based on that proposal and considering the visual system as a subsystem of a more general one which includes it, we have developed formal schemes of representation, which allow us to clarify some of their properties. As it is customary in models of early vision, we treat the early representations as linear systems with an optional pointwise nonlinearity applied to the output of the system, under the assumption that the successive stages of processing remap the retinal representation space in a manner that makes similar stimuli closer to each other, and dissimilar stimuli farther apart. We present a theoretical analysis and simulate the visual representations through the successive levels of the visual pathway, from the retina to the nonlinear cortical units, and we present computational experiments at the photoreceptor level. This analysis neglects the essentially nonlinear process of light adaptation in the retina, but it is valid for images in which the mean illumination level is roughly constant.en_US
dc.languageengen_US
dc.relation.ispartofSystems Analysis Modelling Simulationen_US
dc.sourceSystems Analysis Modelling Simulation [ISSN 0232-9298], v. 43, p. 1263-1269en_US
dc.subject1203 Ciencia de los ordenadoresen_US
dc.subject120304 Inteligencia artificialen_US
dc.subject.otherAlgorithmsen_US
dc.subject.otherData structuresen_US
dc.subject.otherFunction evaluationen_US
dc.subject.otherLinear systemsen_US
dc.subject.otherNeural networksen_US
dc.subject.otherSensor data fusionen_US
dc.subject.otherState space methodsen_US
dc.subject.otherVisionen_US
dc.subject.otherAlgoritmosen_US
dc.subject.otherEstructura de datosen_US
dc.subject.otherVisión artificialen_US
dc.subject.otherArtificial visionen_US
dc.titleOn the generation of representational spaces in perceptual systemsen_US
dc.typeinfo:eu-repo/semantics/Articlees
dc.typeArticlees
dc.identifier.doi10.1080/02329290310001600318
dc.identifier.scopus33746343962-
dc.contributor.authorscopusid14048003100-
dc.contributor.authorscopusid14049051200-
dc.contributor.authorscopusid14048826800-
dc.contributor.authorscopusid55382822400
dc.description.lastpage1269-
dc.description.firstpage1263-
dc.relation.volume43-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.utils.revisionen_US
dc.date.coverdateSeptiembre 2003
dc.identifier.ulpgces
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR IUCES: Computación inteligente, percepción y big data-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0009-0008-9619-7341-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.fullNameQuevedo Losada, Juan Carlos-
crisitem.author.fullNameMuñoz Blanco, José Antonio-
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