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Systematic configuration and automatic tuning of neuromorphic systems


Sheik, S; Stefanini, F; Neftci, E; Chicca, E; Indiveri, G (2011). Systematic configuration and automatic tuning of neuromorphic systems. In: IEEE International Symposium on Circuits and Systems (ISCAS) 2011, Rio de Janeiro, Brazil, 15 May 2011 - 18 May 2011, 873-876.

Abstract

In the past recent years several research groups have proposed neuromorphic Very Large Scale Integration (VLSI) devices that implement event-based sensors or biophysically realistic networks of spiking neurons. It has been argued that these devices can be used to build event-based systems, for solving real-world applications in real-time, with efficiencies and robustness that cannot be achieved with conventional computing technologies.

Abstract

In the past recent years several research groups have proposed neuromorphic Very Large Scale Integration (VLSI) devices that implement event-based sensors or biophysically realistic networks of spiking neurons. It has been argued that these devices can be used to build event-based systems, for solving real-world applications in real-time, with efficiencies and robustness that cannot be achieved with conventional computing technologies.

Citations

10 citations in Web of Science®
5 citations in Scopus®
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Additional indexing

Item Type:Conference or Workshop Item (Other), refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Event End Date:18 May 2011
Deposited On:07 Mar 2012 17:01
Last Modified:05 Apr 2016 15:42
Publisher:IEEE
Number of Pages:3
ISSN:0271-4302
ISBN:978-1-4244-9472-9;978-1-4244-9473-6
Publisher DOI:https://doi.org/10.1109/ISCAS.2011.5937705

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