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CAVIAR: A 45k Neuron, 5M Synapse, 12G Connects/s AER Hardware Sensory--Processing--Learning--Actuating System for High-Speed Visual Object Recognition and Tracking.
- Source :
- IEEE Transactions on Neural Networks; Sep2009, Vol. 20 Issue 9, p1417-1438, 22p, 15 Diagrams, 5 Charts, 8 Graphs
- Publication Year :
- 2009
-
Abstract
- 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. 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. [ABSTRACT FROM AUTHOR]
- Subjects :
- CENTRAL nervous system
NEURONS
NEURAL transmission
PHYSIOLOGY
COMMUNICATION
Subjects
Details
- Language :
- English
- ISSN :
- 10459227
- Volume :
- 20
- Issue :
- 9
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Neural Networks
- Publication Type :
- Academic Journal
- Accession number :
- 44232970
- Full Text :
- https://doi.org/10.1109/TNN.2009.2023653