EventSession Formset ID 119

Event: CCNW 2022
Type: Work Group
Title: Fast and energy-efficient neuromorphic deep learning with spike times
Description: Deep Learning with spiking neural networks is a hot topic in general and specifically in the neuromorphic field. In this workshop we will work together on applying and extending an algorithm that allows exact error-backpropagation in networks of LIF neurons (https://www.nature.com/articles/s42256-021-00388-x respectively https://arxiv.org/abs/1912.11443). As a starting point, we provide insights into the theoretical aspect as well as an image classification example on the BrainScaleS-2 system, but are interested in collaborating on different applications and with other neuromorphic platforms. Preparation: If you want to try out the code in simulation please clone the repository https://github.com/JulianGoeltz/fastAndDeep and follow the installation instructions in the README.
Moderators: <QuerySet [<User: juli_goel>, <User: laur_krie>]>
Schedule ID start time end time location
174 May 4, 2022, 2:30 p.m. May 4, 2022, 3 p.m. Disco (Lab)
223 May 6, 2022, 3 p.m. May 6, 2022, 4 p.m. Disco
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