We explore non-traditional forms of sensing and computation based on asynchronous and event based architectures inspired by the transmission of information on the brain (spike-based). This research is carried out by designing VLSI chips that use transistor in the sub-threshold regime¹. In particular, we design sensors with embedded motion estimation and analysis circuitry. In general we would like to develop algorithms that exploit the unique structure of non-uniform sensors together we the efficiency of event based visual processing.

Details of a space-variant arrangement of pixels in a silicon retina. Left: foveal region; right: periphery
Layout of the Tracker Motion Sensor (TMS) chip including sensors, spatial and temporal derivatives, and attention based output coding							Block diagram of the Tracker Motion Sensor (TMS) chip including sensors, spatial and temporal derivatives, velocity detectors and attention based output coding