Spike-based analog-digital neuromorphic information processing system for sensor applications

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/20227

dc.contributor	Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica
dc.contributor	Universitat Politècnica de Catalunya. AHA - Arquitectures Hardware Avançades
dc.contributor.author	Sánchez Rivera, Giovanny
dc.contributor.author	Koickal, Thomas Jacob
dc.contributor.author	Sripad T A, Athul
dc.contributor.author	Gouveia, Luiz Carlos
dc.contributor.author	Hamilton, Alister
dc.contributor.author	Madrenas Boadas, Jordi
dc.date	2013
dc.identifier.citation	Sanchez , 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.citation	978-1-4673-5760-9
dc.identifier.citation	10.1109/ISCAS.2013.6572173
dc.identifier.uri	http://hdl.handle.net/2117/20227
dc.language.iso	eng
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation	http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6572173&tag=1
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Enginyeria electrònica::Instrumentació i mesura::Sensors i actuadors
dc.subject	Àrees temàtiques de la UPC::Informàtica::Programació
dc.subject	Parallel processing (Electronic computers)
dc.subject	Encoding
dc.subject	Multiprocessing systems
dc.subject	Neural nets
dc.subject	Parallel processing
dc.subject	Sensor fusion
dc.subject	Processament en paral·lel (Ordinadors)
dc.title	Spike-based analog-digital neuromorphic information processing system for sensor applications
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	A 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.description.abstract	Peer Reviewed

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