dc.creator | Rivas Pérez, Manuel | es |
dc.creator | Linares Barranco, Alejandro | es |
dc.creator | Cerdá, J. | es |
dc.creator | Ferrando, N. | es |
dc.creator | Jiménez Moreno, Gabriel | es |
dc.creator | Civit Balcells, Antón | es |
dc.date.accessioned | 2019-12-26T08:56:20Z | |
dc.date.available | 2019-12-26T08:56:20Z | |
dc.date.issued | 2010 | |
dc.identifier.citation | Rivas Pérez, M., Linares Barranco, A., Cerdá, J., Ferrando, N., Jiménez Moreno, G. y Civit Balcells, A. (2010). Visual Spike-based Convolution Processing with a Cellular Automata Architecture. En IJCNN 2010 : International Joint Conference on Neural Networks Barcelona, España: IEEE Computer Society. | |
dc.identifier.isbn | 978-1-4244-6916-1 | es |
dc.identifier.issn | 2161-4393 | es |
dc.identifier.uri | https://hdl.handle.net/11441/91249 | |
dc.description.abstract | this paper presents a first approach for
implementations which fuse the Address-Event-Representation
(AER) processing with the Cellular Automata using FPGA and
AER-tools. This new strategy applies spike-based convolution
filters inspired by Cellular Automata for AER vision
processing. Spike-based systems are neuro-inspired circuits
implementations traditionally used for sensory systems or
sensor signal processing. AER is a neuromorphic
communication protocol for transferring asynchronous events
between VLSI spike-based chips. These neuro-inspired
implementations allow developing complex, multilayer,
multichip neuromorphic systems and have been used to design
sensor chips, such as retinas and cochlea, processing chips, e.g.
filters, and learning chips. Furthermore, Cellular Automata is a
bio-inspired processing model for problem solving. This
approach divides the processing synchronous cells which
change their states at the same time in order to get the solution. | es |
dc.description.sponsorship | Ministerio de Educación y Ciencia TEC2006-11730-C03-02 | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación TEC2009-10639-C04-02 | es |
dc.description.sponsorship | Junta de Andalucía P06-TIC-01417 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | IEEE Computer Society | es |
dc.relation.ispartof | IJCNN 2010 : International Joint Conference on Neural Networks (2010), | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Visual Spike-based Convolution Processing with a Cellular Automata Architecture | 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 | TEC2006-11730-C03-02 | es |
dc.relation.projectID | TEC2009-10639-C04-02 | es |
dc.relation.projectID | P06-TIC-01417 | es |
dc.relation.publisherversion | https://ieeexplore.ieee.org/abstract/document/5596924 | es |
dc.identifier.doi | 10.1109/IJCNN.2010.5596924 | es |
idus.format.extent | 7 | es |
dc.eventtitle | IJCNN 2010 : International Joint Conference on Neural Networks | es |
dc.eventinstitution | Barcelona, España | es |
dc.relation.publicationplace | New York, USA | es |