dc.creator | Carmona Galán, Ricardo | es |
dc.creator | Jiménez Garrido, Francisco José | es |
dc.creator | Domínguez Matas, Carlos | es |
dc.creator | Domínguez Castro, Rafael | es |
dc.creator | Espejo Meana, Servando Carlos | es |
dc.creator | Petrás, István | es |
dc.creator | Rodríguez Vázquez, Ángel Benito | es |
dc.date.accessioned | 2020-04-07T14:14:24Z | |
dc.date.available | 2020-04-07T14:14:24Z | |
dc.date.issued | 2004 | |
dc.identifier.citation | Carmona Galán, R., Jiménez Garrido, F.J., Domínguez Matas, C., Domínguez Castro, R., Espejo Meana, S.C., Petrás, I. y Rodríguez Vázquez, Á.B. (2004). Second-order neural core for bioinspired focal-plane dynamic image processing in CMOS. IEEE Transactions on Circuits and Systems I: Regular Papers, 51 (5), 913-925. | |
dc.identifier.issn | 1549-8328 | es |
dc.identifier.issn | 1558-0806 | es |
dc.identifier.uri | https://hdl.handle.net/11441/94975 | |
dc.description.abstract | Based on studies of the mammalian retina, a bioinspired model for mixed-signal array processing has been implemented on silicon. This model mimics the way in which images are processed at the front-end of natural visual pathways, by means of programmable complex spatio-temporal dynamic. When embedded into a focal-plane processing chip, such a model allows for online parallel filtering of the captured image; the outcome of such processing can be used to develop control feedback actions to adapt the response of photoreceptors to local image features. Beyond simple resistive grid filtering, it is possible to program other spatio-temporal processing operators into the model core, such as nonlinear and anisotropic diffusion, among others. This paper presents analog and mixed-signal very large-scale integration building blocks to implement this model, and illustrates their operation through experimental results taken from a prototype chip fabricated in a 0.5-μm CMOS technology. | es |
dc.description.sponsorship | European Union IST 2001 38097 | es |
dc.description.sponsorship | Ministerio de Ciencia y Tecnología TIC 2003 09817 C02 01 | es |
dc.description.sponsorship | Office of Naval Research (USA) N000140210884 | es |
dc.format | application/pdf | es |
dc.format.extent | 13 p. | es |
dc.language.iso | eng | es |
dc.publisher | Institute of Electrical and Electronics Engineers | es |
dc.relation.ispartof | IEEE Transactions on Circuits and Systems I: Regular Papers, 51 (5), 913-925. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Neural network hardware | es |
dc.subject | Nonlinear systems | es |
dc.subject | Parallel processing | es |
dc.title | Second-order neural core for bioinspired focal-plane dynamic image processing in CMOS | 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 | IST 2001 38097 | es |
dc.relation.projectID | TIC 2003 09817 C02 01 | es |
dc.relation.projectID | N000140210884 | es |
dc.relation.publisherversion | https://doi.org/10.1109/TCSI.2004.827641 | es |
dc.identifier.doi | 10.1109/TCSI.2004.827641 | es |
dc.journaltitle | IEEE Transactions on Circuits and Systems I: Regular Papers | es |
dc.publication.volumen | 51 | es |
dc.publication.issue | 5 | es |
dc.publication.initialPage | 913 | es |
dc.publication.endPage | 925 | es |
dc.identifier.sisius | 6627596 | es |