作者: U. Mallik , R.J. Vogelstein , E. Culurciello , R. Etienne-Cummings , G. Cauwenberghs
DOI: 10.1109/ISCAS.2005.1464988
关键词:
摘要: We present an architecture for processing spike-based sensory information in real-time. The system is based on a re-configurable silicon array of general-purpose integrate-and-fire neurons (as opposed to application-specific circuits), which can emulate arbitrary cortical networks. A combined retinal/cortical network has been designed and tested with neuromorphic retina. Neural activity communicated between chips at rates up 1,000,000 spikes/sec bit-parallel address-event representation protocol. This work represents the first step constructing autonomous, continuous-time, biologically-plausible hierarchical model visual using large-scale arrays identical neurons.