Published December 12, 2019
| Version v1
Publication
AER Building Blocks for Multi-Layer Multi-Chip Neuromorphic Vision Systems
- Creators
- Serrano Gotarredona, Rafael
- Oster, M.
- Lichtsteiner, P.
- Linares Barranco, Alejandro
- Paz Vicente, Rafael
- Gómez Rodríguez, Francisco de Asís
- Kolle Riis, H.
- Delbrück, Tobi
- Liu, Shih-Chii
- Zahnd, S.
- Whatley, A.M.
- Douglas, R.
- Häfliger, P.
- Jiménez Moreno, Gabriel
- Civit Balcells, Antón
- Serrano Gotarredona, María Teresa
- Acosta Jiménez, Antonio José
- Linares Barranco, Bernabé
Description
A 5-layer neuromorphic vision processor whose components communicate spike events asychronously using the address-eventrepresentation (AER) is demonstrated. The system includes a retina chip, two convolution chips, a 2D winner-take-all chip, a delay line chip, a learning classifier chip, and a set of PCBs for computer interfacing and address space remappings. The components use a mixture of analog and digital computation and will learn to classify trajectories of a moving object. A complete experimental setup and measurements results are shown.
Abstract
Unión Europea IST-2001-34124 (CAVIAR)
Abstract
Ministerio de Ciencia y Tecnología TIC-2003-08164-C03
Additional details
- URL
- https://idus.us.es/handle//11441/90838
- URN
- urn:oai:idus.us.es:11441/90838
- Origin repository
- USE