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dc.creatorCarmona Galán, Ricardoes
dc.creatorJiménez Garrido, Francisco Josées
dc.creatorDomínguez Castro, Rafaeles
dc.creatorEspejo Meana, Servando Carloses
dc.creatorRoska, Tamáses
dc.creatorRekeczky, Csabaes
dc.creatorPetrás, Istvánes
dc.creatorRodríguez Vázquez, Ángel Benitoes
dc.date.accessioned2020-04-07T14:47:40Z
dc.date.available2020-04-07T14:47:40Z
dc.date.issued2003
dc.identifier.citationCarmona Galán, R., Jiménez Garrido, F.J., Domínguez Castro, R., Espejo Meana, S.C., Roska, T., Rekeczky, C.,...,Rodríguez Vázquez, Á.B. (2003). A Bio-Inspired Two-Layer Mixed-Signal Flexible Programmable Chip for Early Vision. IEEE Transactions on Neural Networks, 14 (5), 1313-1336.
dc.identifier.issn1045-9227es
dc.identifier.issn1941-0093es
dc.identifier.urihttps://hdl.handle.net/11441/94977
dc.description.abstractA bio-inspired model for an analog programmable array processor (APAP), based on studies on the vertebrate retina, has permitted the realization of complex programmable spatio-temporal dynamics in VLSI. This model mimics the way in which images are processed in the visual pathway, what renders a feasible alternative for the implementation of early vision tasks in standard technologies. A prototype chip has been designed and fabricated in 0.5 μm CMOS. It renders a computing power per silicon area and power consumption that is amongst the highest reported for a single chip. The details of the bio-inspired network model, the analog building block design challenges and trade-offs and some functional tests results are presented in this paper.es
dc.description.sponsorshipOffice of Naval Research (USA) N-000140210884es
dc.description.sponsorshipEuropean Commission IST-1999-19007es
dc.description.sponsorshipMinisterio de Ciencia y Tecnología TIC1999-0826es
dc.formatapplication/pdfes
dc.format.extent24 p.es
dc.language.isoenges
dc.publisherInstitute of Electrical and Electronics Engineerses
dc.relation.ispartofIEEE Transactions on Neural Networks, 14 (5), 1313-1336.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectCellular neural networkses
dc.subjectMachine visiones
dc.subjectNeural networks hardwarees
dc.subjectVisual systemses
dc.titleA Bio-Inspired Two-Layer Mixed-Signal Flexible Programmable Chip for Early Visiones
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/acceptedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Electrónica y Electromagnetismoes
dc.relation.projectIDN-000140210884es
dc.relation.projectIDIST-1999-19007es
dc.relation.projectIDTIC1999-0826es
dc.relation.publisherversionhttps://doi.org/10.1109/TNN.2003.816377es
dc.identifier.doi10.1109/TNN.2003.816377es
dc.journaltitleIEEE Transactions on Neural Networkses
dc.publication.volumen14es
dc.publication.issue5es
dc.publication.initialPage1313es
dc.publication.endPage1336es
dc.identifier.sisius6628414es

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