The asynchronous time-based neuromorphic image sensor ATIS is an array of autonomously operating pixels able to encode luminance information with an exceptionally high dynamic range (>143 dB). This paper introduces an event-based methodology to display data from this type of event-based imagers, taking into account the large dynamic range and high temporal accuracy that go beyond available mainstream display technologies.

Camille Simon Chane, Sio-Hoi Ieng, Christoph Posch and Ryad B. Benosman
Front. Neurosci., 31 August 2016 |

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