Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/52404
Campo DC Valoridioma
dc.contributor.authorDe Blasio, Gabrielen_US
dc.contributor.authorMoreno-Díaz, Armindaen_US
dc.contributor.authorMoreno-Díaz, Robertoen_US
dc.date.accessioned2018-11-25T20:03:04Z-
dc.date.available2018-11-25T20:03:04Z-
dc.date.issued2012en_US
dc.identifier.issn0010-485Xen_US
dc.identifier.urihttp://hdl.handle.net/10553/52404-
dc.description.abstractDirectional selectivity to local visual stimuli appears in various levels of the visual pathway, being in the retina very conspicuous. Neurophysiology suggests that directionality (as well as other local and quasi-global filtering properties) are based in the space-time interactions of processes with different "memory" (latency). We draw inspiration from the corresponding underlying biological mechanisms to propose two general schemes for directionality computation in nets, compatible with other space-time filtering properties. First, a connectivistic mechanism based on bipolar-amacrine-ganglion cell interaction is proposed, by formalizing the classical proposals of early vision neurophysiologists. Second, inspired initially in the more recently described intrinsic directionality of amacrines, novel schemes are proposed where directionality appear as the computing consequence of adding memory to spatial filtering structures. The mathematical formulations are achieved by means of Newton Filters and Hermite Functionals.
dc.languageengen_US
dc.relation.ispartofComputing (Wien. Print)en_US
dc.sourceComputing [ISSN 0010-485X], v. 94 (5), p. 449-462en_US
dc.subject1203 Ciencia de los ordenadoresen_US
dc.subject.otherVisual neural netsen_US
dc.subject.otherNeural computationen_US
dc.subject.otherVisual filtersen_US
dc.subject.otherDirectionalityen_US
dc.subject.otherNewton filtersen_US
dc.subject.otherHermite transformsen_US
dc.titleBioinspired computing nets for directionality in visionen_US
dc.typeinfo:eu-repo/semantics/Articlees
dc.typeArticlees
dc.identifier.doi10.1007/s00607-012-0186-z
dc.identifier.scopus84861834025-
dc.identifier.isi000303804700004
dc.contributor.authorscopusid8935044600-
dc.contributor.authorscopusid8935044800-
dc.contributor.authorscopusid24543463600-
dc.identifier.eissn1436-5057-
dc.description.lastpage462-
dc.identifier.issue5-
dc.description.firstpage449-
dc.relation.volume94-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.contributor.daisngid2417004
dc.contributor.daisngid2728259
dc.contributor.daisngid1339968
dc.contributor.wosstandardWOS:de Blasio, G
dc.contributor.wosstandardWOS:Moreno-Diaz, A
dc.contributor.wosstandardWOS:Moreno-Diaz, R
dc.date.coverdateMayo 2012
dc.identifier.ulpgces
dc.description.sjr0,33
dc.description.jcr0,807
dc.description.sjrqQ2
dc.description.jcrqQ2
dc.description.scieSCIE
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.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.orcid0000-0002-6233-567X-
crisitem.author.orcid0000-0002-5314-6033-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.fullNameDe Blasio, Gabriele Salvatore-
crisitem.author.fullNameMoreno Díaz, Roberto-
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