dc.creator | López-Torres, Manuel Ramón | es |
dc.creator | Díaz del Río, Fernando | es |
dc.creator | Domínguez Morales, Manuel Jesús | es |
dc.creator | Jiménez Moreno, Gabriel | es |
dc.creator | Linares Barranco, Alejandro | es |
dc.date.accessioned | 2018-02-13T08:56:53Z | |
dc.date.available | 2018-02-13T08:56:53Z | |
dc.date.issued | 2011 | |
dc.identifier.citation | López Torres, M.R., Díaz del Río, F., Domínguez Morales, M.J., Jiménez Moreno, G. y Linares Barranco, A. (2011). AER Spiking Neuron Computation on GPUs: The Frame-to-AER Generation. En ICONIP 2011: 18th International Conference on Neural Information Processing (199-208), Shanghai, China: Springer. | |
dc.identifier.isbn | 978-3-642-24955-6 | es |
dc.identifier.uri | https://hdl.handle.net/11441/70240 | |
dc.description.abstract | Neuro-inspired processing tries to imitate the nervous system and may
resolve complex problems, such as visual recognition. The spike-based philosophy
based on the Address-Event-Representation (AER) is a neuromorphic interchip
communication protocol that allows for massive connectivity between neurons.
Some of the AER-based systems can achieve very high performances in real-time
applications. This philosophy is very different from standard image processing,
which considers the visual information as a succession of frames. These frames
need to be processed in order to extract a result. This usually requires very
expensive operations and high computing resource consumption. Due to its relative
youth, nowadays AER systems are short of cost-effective tools like emulators,
simulators, testers, debuggers, etc. In this paper the first results of a CUDA-based
tool focused on the functional processing of AER spikes is presented, with the aim
of helping in the design and testing of filters and buses management of these
systems. | es |
dc.description.sponsorship | Ministerio de Educación y Ciencia TEC2009-10639-C04-02 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | ICONIP 2011: 18th International Conference on Neural Information Processing (2011), p 199-208 | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | AER | es |
dc.subject | Neuromorphic | es |
dc.subject | CUDA | es |
dc.subject | GPUs | es |
dc.subject | Real-time vision | es |
dc.subject | Spiking systems | es |
dc.title | AER Spiking Neuron Computation on GPUs: The Frame-to-AER Generation | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | 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 | TEC2009-10639-C04-02 | es |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-642-24955-6_24 | es |
dc.identifier.doi | 10.1007/978-3-642-24955-6_24 | es |
dc.contributor.group | Universidad de Sevilla. TEP-108: Robótica y Tecnología de Computadores Aplicada a la Rehabilitación | es |
idus.format.extent | 10 | es |
dc.publication.initialPage | 199 | es |
dc.publication.endPage | 208 | es |
dc.eventtitle | ICONIP 2011: 18th International Conference on Neural Information Processing | es |
dc.eventinstitution | Shanghai, China | es |
dc.relation.publicationplace | Berlin | es |
dc.identifier.sisius | 20033130 | es |
dc.contributor.funder | Ministerio de Educación y Ciencia (MEC). España | |