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dc.creatorLuján Martínez, Carlos Danieles
dc.creatorLinares Barranco, Alejandroes
dc.creatorJiménez Fernández, Ángel Franciscoes
dc.creatorJiménez Moreno, Gabrieles
dc.creatorCivit Balcells, Antónes
dc.date.accessioned2019-12-18T10:08:36Z
dc.date.available2019-12-18T10:08:36Z
dc.date.issued2007
dc.identifier.citationLuján Martínez, C.D., Linares Barranco, A., Jiménez Fernández, Á.F., Jiménez Moreno, G. y Civit Balcells, A. (2007). Multi-task Implementation for Image Reconstruction of an AER Communication. En IWANN 2007: 9th International Work-Conference on Artificial Neural Networks (717-724), San Sebastian, España: Springer.
dc.identifier.isbn978-3-540-73006-4es
dc.identifier.issn0302-9743es
dc.identifier.urihttps://hdl.handle.net/11441/91061
dc.description.abstractAddress-Event-Representation (AER) is a communication protocol for transferring spikes between bio-inspired chips. Such systems may consist of a hierarchical structure with several chips that transmit spikes among them in real time, while performing some processing. There exist several AER tools to help in developing and testing AER based systems. These tools require the use of a computer to allow the processing of the event information, reaching very high bandwidth at the AER communication level. We propose to use an embedded platform based on multi-task operating system to allow both, the AER communication and the AER processing without a laptop or a computer. We have connected and programmed a Gumstix computer to process Address- Event information and measured the performance referred to the previous AER tools solutions. In this paper, we present and study the performance of a new philosophy of a frame-grabber AER tool based on a multi-task environment, composed by the Intel XScale processor governed by an embedded GNU/Linux system.es
dc.description.sponsorshipMinisterio de Ciencia e Innovación TEC2006-11730-C03-02es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherSpringeres
dc.relation.ispartofIWANN 2007: 9th International Work-Conference on Artificial Neural Networks (2007), p 717-724
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleMulti-task Implementation for Image Reconstruction of an AER Communicationes
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadoreses
dc.relation.projectIDTEC2006-11730-C03-02es
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-540-73007-1_86es
dc.identifier.doi10.1007/978-3-540-73007-1_86es
idus.format.extent8es
dc.publication.initialPage717es
dc.publication.endPage724es
dc.eventtitleIWANN 2007: 9th International Work-Conference on Artificial Neural Networkses
dc.eventinstitutionSan Sebastian, Españaes
dc.relation.publicationplaceBerlines
dc.identifier.sisius6651930es

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