EventSession Formset ID 140

Event: ccnw22 2022
Type: Work Group
Title: Temporal augmentation for SNNs
Description: Augmentation is an important part of training deep neural nets these days. Whereas convolutional neural networks typically use spatial augmentation techniques such as rotation, shifting and other affine transforms, data for spiking neural networks often has an important temporal component. I'd be interested in exploring specifically temporal augmentation techniques on spikes. The tooling for that is already in a very mature state in the form of Tonic, please check it out here:
Moderators: Gregor Lenz,
Schedule ID start time end time location
189 May 04 2022, 16:00 May 04 2022, 16:30 Lecture room
226 May 09 2022, 22:00 May 09 2022, 23:00 Disco lab
224 May 06 2022, 21:00 May 06 2022, 22:00 Disco lab
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