Date: 20/12/2023

Sensors developed with ability to form a spiking neural network for motion recognition

It is reported that researchers from Hong Kong Polytechnic University, Huazhong University of Science and Technology and Hong Kong University of Science and Technology have published a paper in Nature magazine on their development of new event-driven vision sensors that capture dynamic motion and converting into programmable spiking signals.

"The sensors can be used to form a spiking neural network for motion recognition. Each individual vision sensor consists of two parallel photodiodes with opposite polarities and has a temporal resolution of 5 µs. In response to changes in light intensity, the sensors generate spiking signals with different amplitudes and polarities by electrically programming their individual photoresponsivity. The non-volatile and multilevel photoresponsivity of the vision sensors can emulate synaptic weights and can be used to create an in-sensor spiking neural network.", noted in the abstract of the paper.

For more info visit:
https://www.nature.com/articles/s41928-023-01055-2

https://techxplore.com/news/2023-12-event-driven-vision-sensors-motion-spiking.html


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