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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. IEEE, 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.

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
Scopus Subject Areas:Physical Sciences > Electrical and Electronic Engineering
Language:English
Event End Date:18 May 2011
Deposited On:07 Mar 2012 17:01
Last Modified:23 Jan 2022 21:35
Publisher:IEEE
Number of Pages:3
ISSN:0271-4302
ISBN:978-1-4244-9472-9;978-1-4244-9473-6
OA Status:Closed
Publisher DOI:https://doi.org/10.1109/ISCAS.2011.5937705
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