Publication: CAVIAR: a 45k neuron, 5M synapse, 12G connects/s AER hardware sensory-processing-learning-actuating system for high-speed visual object recognition and tracking
CAVIAR: a 45k neuron, 5M synapse, 12G connects/s AER hardware sensory-processing-learning-actuating system for high-speed visual object recognition and tracking
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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. https://doi.org/10.1109/TNN.2009.2023653
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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 mil
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- Serrano-Gotarredona, R
- Oster, M
- Lichtsteiner, P
- Linares-Barranco, A
- Paz-Vicente, R
- Gomez-Rodriguez, F
- Camuñas-Mesa, L
- Berner, R
- Delbruck, T
- Liu, S C
- Hafliger, P
- Serrano-Gotarredona, T
- Linares-Barranco, B
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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. https://doi.org/10.1109/TNN.2009.2023653
