Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/54688
Campo DC Valoridioma
dc.contributor.authorSuárez Araujo, C. P.en_US
dc.contributor.authorMoreno-Díaz, R.en_US
dc.date.accessioned2019-02-18T12:32:05Z-
dc.date.available2019-02-18T12:32:05Z-
dc.date.issued1992en_US
dc.identifier.isbn9783540553540en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/10553/54688-
dc.description.abstractThis paper is oriented to a computational theory of invariant perception by the cortex.Based on the idea that the cortex has adopted representations and computational strategies that make the computation of invariants efficient, we suggest that in the cortex there are, at least, two paths for computing invariances. A path computes the parameters of invariance and the other applies them to original sensorial patterns. The neuronal structures that we propose in this paper uphold both the architecture and functionality of the cortex.We present a model of neural net which computes the homothetic parameter of an one-dimensional tonotopic pattern. This theoretical problem has, as substratum, the spatially layered architecture of Primary Auditory Cortex, (AI), and the associated computational concepts. The neuronal synthesis of the model is achieved combining McCulloch-Pitts and analytical formulations, which allows us to obtain a neural layered computing structure.In addition, we propose an alternative net for computing invariances which is derived from methods of artificial systems visual processing. These neural structures, when working in two-dimensional spaces, allow reaching, in a natural way, a complete schema of recognition for artificial visual systems.
dc.languagespaen_US
dc.publisher0302-9743en_US
dc.relation.ispartofLecture Notes in Computer Scienceen_US
dc.sourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 585 LNCS, p. 525-538en_US
dc.titleNeural structures to compute homothetic invariances for artificial perception systemsen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conference2ND INTERNATIONAL WORKSHOP ON COMPUTER AIDED SYSTEMS THEORY - EUROCAST 91
dc.relation.conference2nd International Workshop on Computer Aided Systems Theory, EUROCAST 1991
dc.identifier.doi10.1007/BFb0021040
dc.identifier.scopus84889506717-
dc.identifier.isiA1992LE83400041
dc.contributor.authorscopusid6603605708-
dc.contributor.authorscopusid24543463600-
dc.description.lastpage538-
dc.description.firstpage525-
dc.relation.volume585 LNCS-
dc.type2Actas de congresosen_US
dc.contributor.daisngid1776211
dc.contributor.daisngid1554939
dc.contributor.wosstandardWOS:ARAUJO, CPS
dc.contributor.wosstandardWOS:MORENODIAZ, R
dc.date.coverdateEnero 1992
dc.identifier.conferenceidevents121192
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.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0002-8826-0899-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.fullNameSuárez Araujo, Carmen Paz-
crisitem.event.eventsstartdate15-04-1991-
crisitem.event.eventsstartdate15-04-1991-
crisitem.event.eventsenddate19-04-1991-
crisitem.event.eventsenddate19-04-1991-
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