Mostra el registre d'ítem simple

dc.contributor.authorSánchez Rivera, Giovanny
dc.contributor.authorKoickal, Thomas Jacob
dc.contributor.authorSripad T A, Athul
dc.contributor.authorGouveia, Luiz Carlos
dc.contributor.authorHamilton, Alister
dc.contributor.authorMadrenas Boadas, Jordi
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica
dc.date.accessioned2013-09-27T16:24:43Z
dc.date.created2013
dc.date.issued2013
dc.identifier.citationSanchez , G. [et al.]. Spike-based analog-digital neuromorphic information processing system for sensor applications. A: IEEE International Symposium on Circuits and Systems. "2013 IEEE International Symposium on Circuits and Systems (ISCAS 2013) : Beijing, China, 19 - 23 May 2013". Beijing-Pekín: Institute of Electrical and Electronics Engineers (IEEE), 2013, p. 1624-1627.
dc.identifier.isbn978-1-4673-5760-9
dc.identifier.urihttp://hdl.handle.net/2117/20227
dc.description.abstractA spiking-neuron-based system that combines analog and digital multi-processor implementations for the bio-inspired processing of sensors is reported. This combination allows creating a powerful bio-inspired multiple-input sensor processing system for environment perception applications. The analog front-end encodes the input signal in a signed spike representation, which is further processed by means of a digital Spiking Neural Network (SNN) on a Single-Instruction Multiple-Data (SIMD) multiprocessor. The spike distribution for both systems is based on Address-Event Representation (AER) scheme, asynchronous for the Analog Pre-Processor (APP) and synchronous for the Digital Multi-Processor (DMP), synchronized by means of an AER transceiver. A proof-of-concept application of the system being able to process sensory information has been demonstrated. The system utilizes 30-neurons emulated by the DMP to process spike-encoded information provided by its analog counterpart, enabling the feature extraction of the input signal. The frequency detection capability of the system is experimentally reported.
dc.format.extent4 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria electrònica::Instrumentació i mesura::Sensors i actuadors
dc.subjectÀrees temàtiques de la UPC::Informàtica::Programació
dc.subject.lcshParallel processing (Electronic computers)
dc.subject.otherEncoding
dc.subject.otherMultiprocessing systems
dc.subject.otherNeural nets
dc.subject.otherParallel processing
dc.subject.otherSensor fusion
dc.titleSpike-based analog-digital neuromorphic information processing system for sensor applications
dc.typeConference report
dc.subject.lemacProcessament en paral·lel (Ordinadors)
dc.contributor.groupUniversitat Politècnica de Catalunya. AHA - Arquitectures Hardware Avançades
dc.identifier.doi10.1109/ISCAS.2013.6572173
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6572173&tag=1
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac12743740
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorSanchez , G.; Koickal, T.; Sripad T A, A.; Gouveia, L.; Hamilton, A.; Madrenas, J.
local.citation.contributorIEEE International Symposium on Circuits and Systems
local.citation.pubplaceBeijing-Pekín
local.citation.publicationName2013 IEEE International Symposium on Circuits and Systems (ISCAS 2013) : Beijing, China, 19 - 23 May 2013
local.citation.startingPage1624
local.citation.endingPage1627


Fitxers d'aquest items

Imatge en miniatura

Aquest ítem apareix a les col·leccions següents

Mostra el registre d'ítem simple