Like last year this online workshop brings together researchers in the field to present their work and discuss ways of translating these findings into a better understanding of neural circuits. Topics include artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. We have a manageable number of talks with ample time for discussions.
This year’s executive committee comprises Chiara Bartolozzi, Sander Bohté, Dan Goodman, and Friedemann Zenke.
The workshop will take place 2-3 November, 2021 (please note change of date from original announcement).
Abstract submission will close 1 October, 2021.
Registration and submissions
Registration is free. Click here to register.
Abstract submission is now open. Click here to submit an abstract.
- Tara Hamilton, University of Technology Sydney
- Dylan Muir, SynSense
- Katie Schumann, Oak Ridge National Laboratory
- Henning Sprekeler, TU Berlin
Final agenda to be decided.
- Two half days (CEST afternoons)
- 4 invited talks
- 8 contributed talks
- Poster session
- Panel debate: “What should be the next big breakthrough in spiking neural networks?” (speakers to be decided)
Last year’s workshop
You can read last year’s meeting report here, watch last year’s talks and discussions on Crowdcast or YouTube.