Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-32048
Serrano-Gotarredona, R; Oster, M; Lichtsteiner, P; Linares-Barranco, A; Paz-Vicente, R; Gomez-Rodriguez, F; Camuñas-Mesa, L; Berner, R; Rivas, M.; Delbruck, T; Liu, S C; Douglas, R J; Hafliger, P; Moreno, G; Civit, A; Serrano-Gotarredona, T; Acosta-Jimenez, A; Linares-Barranco, B (2009). CAVIAR: a 45k neuron, 5M synapse, 12G connects/s AER hardware sensory-processing-learning-actuating system for high-speed visual object recognition and tracking. IEEE Transactions on Neural Networks, 20(9):1417-1438.
View at publisher
This paper describes CAVIAR, a massively parallel hardware implementation of a spike-based sensing-processing-learning-actuating system inspired by the physiology of the nervous system. CAVIAR uses the asychronous address-event representation (AER) communication framework and was developed in the context of a European Union funded project. It has four custom mixed-signal AER chips, five custom digital AER interface components, 45k neurons (spiking cells), up to 5M synapses, performs 12G synaptic operations per second, and achieves millisecond object recognition and tracking latencies.
114 downloads since deposited on 06 Mar 2010
37 downloads since 12 months
|Item Type:||Journal Article, refereed, original work|
|Communities & Collections:||07 Faculty of Science > Institute of Neuroinformatics|
|DDC:||570 Life sciences; biology|
|Uncontrolled Keywords:||neuromorphic AER system|
|Deposited On:||06 Mar 2010 15:47|
|Last Modified:||28 Nov 2013 01:51|
|Additional Information:||© 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Related URLs:||http://www.ini.uzh.ch/node/21375 (Organisation)|
Users (please log in): suggest update or correction for this item
Repository Staff Only: item control page