Published May 23, 2018
| Version v1
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
- Creators
- Serrano Gotarredona, Rafael
- Oster, Matthias
- Lichtsteiner, Patrick
- Linares Barranco, Alejandro
- Paz Vicente, Rafael
- Gómez Rodríguez, Francisco de Asís
- Camuñas Mesa, Luis Alejandro
- Berner, Raphael
- Rivas Pérez, Manuel
- Jiménez Moreno, Gabriel
- Civit Balcells, Antón
- Serrano Gotarredona, María Teresa
- Acosta Jiménez, Antonio José
- Linares Barranco, Bernabé
Description
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.
Abstract
European Commission IST-2001-34124
Additional details
- URL
- https://idus.us.es/handle//11441/75028
- URN
- urn:oai:idus.us.es:11441/75028
- Origin repository
- USE