How Neuromorphic Image Sensors Steal Tricks from the Eye

In a November 26, 2015 article in IEEE Spectrum, Ralph Etienne-Cummings and colleagues discuss how neuromorphic vision sensors offer increased speed, greater dynamic range, and savings in computational cost as compared with standard video technique. These sensors work less like cameras and instead function more like human eyes.

The article is an outgrowth of collaboration between Etienne-Cummings and coauthors Christoph Posch and Ryad Benosman, both of the Institute of Vision, in Paris. The research trio expects eyelike vision sensors to evolve from the current pioneering designs to from that will play a major role in the medical technology of the future.

Read the full article. The work originally appeared in print as “Giving Machines Humanlike Eyes.”