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

Sánchez Rivera, Giovanny; Koickal, Thomas Jacob; Sripad T A, Athul; Gouveia, Luiz Carlos; Hamilton, Alister; Madrenas Boadas, Jordi

doi:10.1109/ISCAS.2013.6572173

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Sánchez Rivera, Giovanny

Koickal, Thomas Jacob

Sripad T A, Athul

Gouveia, Luiz Carlos

Hamilton, Alister

Madrenas Boadas, Jordi

Document typeConference report

Defense date2013

PublisherInstitute of Electrical and Electronics Engineers (IEEE)

Rights accessRestricted access - publisher's policy

Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain

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.

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.

URIhttp://hdl.handle.net/2117/20227

DOI10.1109/ISCAS.2013.6572173

ISBN978-1-4673-5760-9

Publisher versionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6572173&tag=1

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