dc.creator | Serrano Gotarredona, Rafael | es |
dc.creator | Oster, Matthias | es |
dc.creator | Lichtsteiner, Patrick | es |
dc.creator | Linares Barranco, Alejandro | es |
dc.creator | Paz Vicente, Rafael | es |
dc.creator | Gómez Rodríguez, Francisco de Asís | es |
dc.creator | Camuñas Mesa, Luis Alejandro | es |
dc.creator | Berner, Raphael | es |
dc.creator | Rivas Pérez, Manuel | es |
dc.creator | Jiménez Moreno, Gabriel | es |
dc.creator | Civit Balcells, Antón | es |
dc.creator | Serrano Gotarredona, María Teresa | es |
dc.creator | Acosta Jiménez, Antonio José | es |
dc.creator | Linares Barranco, Bernabé | es |
dc.date.accessioned | 2018-05-23T13:46:48Z | |
dc.date.available | 2018-05-23T13:46:48Z | |
dc.date.issued | 2009 | |
dc.identifier.citation | Serrano Gotarredona, R., Oster, M., Lichtsteiner, P., Linares Barranco, A., Paz Vicente, R., Gómez Rodríguez, F.,...,Linares Barranco, B. (2009). CAVIAR: A 45k neuron, 5M synapse, 12G connects/s AER hardware sensory-processing-learning-actuating system for high-speed visual object recognition and tracking. IEEE Transactions on Neural Networks, 20 (9), 1417-1438. | |
dc.identifier.issn | 1045-9227 | es |
dc.identifier.uri | https://hdl.handle.net/11441/75028 | |
dc.description.abstract | This paper describes CAVIAR, a massively parallel hardware implementation of a spike-based sensing-processing-learning-actuating system inspired by the physiology of the nervous system. CAVIAR uses the asychronous address-event representation (AER) communication framework and was developed in the context of a European Union funded project. It has four custom mixed-signal AER chips, five custom digital AER interface components, 45k neurons (spiking cells), up to 5M synapses, performs 12G synaptic operations per second, and achieves millisecond object recognition and tracking latencies. | es |
dc.description.sponsorship | European Commission IST-2001-34124 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Institute of Electrical and Electronics Engineers | es |
dc.relation.ispartof | IEEE Transactions on Neural Networks, 20 (9), 1417-1438. | |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 Estados Unidos de América | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Address–event representation (AER) | es |
dc.subject | Neuromorphic chips | es |
dc.subject | Neuromorphic systems | es |
dc.subject | Vision | es |
dc.title | CAVIAR: A 45k neuron, 5M synapse, 12G connects/s AER hardware sensory-processing-learning-actuating system for high-speed visual object recognition and tracking | 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 Arquitectura y Tecnología de Computadores | es |
dc.relation.projectID | IST-2001-34124 | es |
dc.relation.publisherversion | http://dx.doi.org/10.1109/TNN.2009.2023653 | es |
dc.identifier.doi | 10.1109/TNN.2009.2023653 | es |
idus.format.extent | 22 p. | es |
dc.journaltitle | IEEE Transactions on Neural Networks | es |
dc.publication.volumen | 20 | es |
dc.publication.issue | 9 | es |
dc.publication.initialPage | 1417 | es |
dc.publication.endPage | 1438 | es |
dc.contributor.funder | European Commission (EC) | |