AER Building Blocks for Multi-Layer Multi-Chip Neuromorphic Vision Systems

Abstract

A 5-layer neuromorphic vision processor whose components
\ncommunicate spike events asychronously using the address-eventrepresentation
\n(AER) is demonstrated. The system includes a retina
\nchip, two convolution chips, a 2D winner-take-all chip, a delay line
\nchip, a learning classifier chip, and a set of PCBs for computer
\ninterfacing and address space remappings. The components use a
\nmixture of analog and digital computation and will learn to classify
\ntrajectories of a moving object. A complete experimental setup and
\nmeasurements results are shown.