Brief summary. This online workshop brings together researchers in the fields of computational neuroscience, machine learning, and neuromorphic engineering 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.
Executive committee. Katie Schuman, Timothée Masquelier, Dan Goodman, and Friedemann Zenke.
- Charlotte Frenkel, TU Delft
- Priya Panda, Yale
- Yiota Poirazi, Institute of Molecular Biology and Biotechnology (IMBB)
- Yonghong Tian, Peking University
Workshop. 9-10 November 2022, European afternoons.
Registration. Free but mandatory. Click here to register.
Abstract submission deadline. Closed. Was 28 September 2022.
Final decisions. 12 October 2022.
- Two half days
- 4 invited talks
- 8 contributed talks
- Poster session
- Panel debate (topic to be decided, let us know if you have a good idea)
Abstract submissions closed
Abstracts are now publicly available for blinded public comments and ratings. We will select the most highly rated abstracts for contributed talks, subject to maintaining a balance between the different fields of, broadly speaking, neuroscience, computer science and neuromorphic engineering. Abstracts not selected for a talk will be presented as posters, and there is an option to submit an abstract directly for a poster and not a talk if you prefer.
Talks can be viewed on Crowdcast or YouTube
You can read the meeting report here, and watch the talks and discussions on Crowdcast or YouTube.