Live Demonstration: Multiplexing AER Asynchronous Channels over LVDS Links with Flow-Control and Clock- Correction for Scalable Neuromorphic Systems

Yousefzadeh, Amirreza; Jablonski, M.; Iakymchuk, T.; Linares Barranco, Alejandro; Rosado, A.; Plana, L.A.; Serrano Gotarredona, María Teresa; Furber, Steve B.; Linares Barranco, Bernabé

doi:10.1109/ISCAS.2017.8050408

Ponencia

dc.creator	Yousefzadeh, Amirreza	es
dc.creator	Jablonski, M.	es
dc.creator	Iakymchuk, T.	es
dc.creator	Linares Barranco, Alejandro	es
dc.creator	Rosado, A.	es
dc.creator	Plana, L.A.	es
dc.creator	Serrano Gotarredona, María Teresa	es
dc.creator	Furber, Steve B.	es
dc.creator	Linares Barranco, Bernabé	es
dc.date.accessioned	2020-02-14T08:09:12Z
dc.date.available	2020-02-14T08:09:12Z
dc.date.issued	2017
dc.identifier.citation	Yousefzadeh, A., Jablonski, M., Iakymchuk, T., Linares Barranco, A., Rosado, A., Plana, L.A.,...,Linares Barranco, B. (2017). Live Demonstration: Multiplexing AER Asynchronous Channels over LVDS Links with Flow-Control and Clock- Correction for Scalable Neuromorphic Systems. En ISCAS 2017: IEEE International Symposium on Circuits and Systems Baltimore, MD, USA: IEEE Computer Society.
dc.identifier.isbn	978-1-4673-6853-7	es
dc.identifier.issn	2379-447X	es
dc.identifier.uri	https://hdl.handle.net/11441/93150
dc.description.abstract	In this live demonstration we exploit the use of a serial link for fast asynchronous communication in massively parallel processing platforms connected to a DVS for realtime implementation of bio-inspired vision processing on spiking neural networks.	es
dc.format	application/pdf	es
dc.language.iso	eng	es
dc.publisher	IEEE Computer Society	es
dc.relation.ispartof	ISCAS 2017: IEEE International Symposium on Circuits and Systems (2017),
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.title	Live Demonstration: Multiplexing AER Asynchronous Channels over LVDS Links with Flow-Control and Clock- Correction for Scalable Neuromorphic Systems	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.publisherversion	https://ieeexplore.ieee.org/document/8050408	es
dc.identifier.doi	10.1109/ISCAS.2017.8050408	es
idus.format.extent	1	es
dc.eventtitle	ISCAS 2017: IEEE International Symposium on Circuits and Systems	es
dc.eventinstitution	Baltimore, MD, USA	es
dc.relation.publicationplace	New York, USA	es

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