dc.creator | Carmona Galán, Ricardo | es |
dc.creator | Jiménez Garrido, Francisco José | es |
dc.creator | Domínguez Castro, Rafael | es |
dc.creator | Espejo Meana, Servando Carlos | es |
dc.creator | Roska, Tamás | es |
dc.creator | Rekeczky, Csaba | es |
dc.creator | Petrás, István | es |
dc.creator | Rodríguez Vázquez, Ángel Benito | es |
dc.date.accessioned | 2020-04-07T14:47:40Z | |
dc.date.available | 2020-04-07T14:47:40Z | |
dc.date.issued | 2003 | |
dc.identifier.citation | Carmona 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.issn | 1045-9227 | es |
dc.identifier.issn | 1941-0093 | es |
dc.identifier.uri | https://hdl.handle.net/11441/94977 | |
dc.description.abstract | A 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.sponsorship | Office of Naval Research (USA) N-000140210884 | es |
dc.description.sponsorship | European Commission IST-1999-19007 | es |
dc.description.sponsorship | Ministerio de Ciencia y Tecnología TIC1999-0826 | es |
dc.format | application/pdf | es |
dc.format.extent | 24 p. | es |
dc.language.iso | eng | es |
dc.publisher | Institute of Electrical and Electronics Engineers | es |
dc.relation.ispartof | IEEE Transactions on Neural Networks, 14 (5), 1313-1336. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Cellular neural networks | es |
dc.subject | Machine vision | es |
dc.subject | Neural networks hardware | es |
dc.subject | Visual systems | es |
dc.title | A Bio-Inspired Two-Layer Mixed-Signal Flexible Programmable Chip for Early Vision | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/acceptedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo | es |
dc.relation.projectID | N-000140210884 | es |
dc.relation.projectID | IST-1999-19007 | es |
dc.relation.projectID | TIC1999-0826 | es |
dc.relation.publisherversion | https://doi.org/10.1109/TNN.2003.816377 | es |
dc.identifier.doi | 10.1109/TNN.2003.816377 | es |
dc.journaltitle | IEEE Transactions on Neural Networks | es |
dc.publication.volumen | 14 | es |
dc.publication.issue | 5 | es |
dc.publication.initialPage | 1313 | es |
dc.publication.endPage | 1336 | es |
dc.identifier.sisius | 6628414 | es |