Filtering the noise from event-based vision sensors for learning patterns in spiking neural networks

The environment and the event sensor itself produce noise, however, the brain can distinguish and filter the noise before or during the learning. In this work-group, we try to understand in which way spiking neurons and synapses can be organized to filter the noise and build it in neuromorphic electronic systems. We will use the DYNAP-se neuromorphic chip and the DAVIS event sensor.

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Day Time Location
Wed, 25.04.2018 21:00 - 22:00 Panorama


Dongchen Liang


Marie Claire Capolei
Tobi Delbruck
Lukas Everding
Julio Guillen
Dongchen Liang
Ning Qiao
Lea Steffen
Aaron Voelker
Benjamin Ward-Cherrier
Jayawan Wijekoon
Guido Zarrella