SNUFA 2024

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. Melika Payvand, Laurent Perrinet, Dan Goodman, and Friedemann Zenke.

Quick links. Watch recordings on YouTube

Key information

Workshop. 5-6 November 2024, European afternoons (online).

Abstract submission is now closed. Deadline was 27 September 2024.

Registration. Registration is now closed.

Invited speakers.

• Chiara Bartolozzi (IIT Genova),
• David Kappel (University of Bochum),
• Anna Levina (Uni Tübingen),
• Christian Machens (Champalimaud)

Agenda

Click here for all abstracts.

Click here for all recorded videos.

Time (CET)	Session	Local date/time
November 5th
14:00	Welcome by the organizers
	Session 1 - chaired by Danyal Akarca
14:10	Chiara Bartolozzi, IIT Genova (invited)
14:55	Karim Habashy Adapting to time: why nature chose to evolve a diverse set of neurons
15:15	Matteo Saponati A feedback control algorithm for online learning in Spiking Neural Networks and Neuromorphic devices
15:35	Break
	Session 2 - chaired by Julia Gygax
16:05	Christian Machens, Champalimaud (invited)
16:50	William Podlaski Storing overlapping associative memories on latent manifolds in low-rank spiking networks
17:10	Flash talks by selected poster presenters
17:30	Poster session
November 6th
14:00	Welcome to day 2
	Session 3 - chaired by Melika Payvand
14:05	David Kappel, University of Bochum (invited)
14:50	Filippo Moro On the role of temporal hierarchy in Spiking Neural Networks
15:10	Rainer Engelken Using Dynamical Systems Theory to Improve Surrogate Gradient Learning in Spiking Neural Networks
15:30	Break
	Session 4 - chaired by Laurent Perrinet
16:00	Anna Levina, Uni Tübingen (invited)
16:45	Ulaş İbrahim Ayyılmaz Excitatory and inhibitory neurons exhibit distinct roles for task learning, temporal scaling, and working memory in recurrent spiking neural network models of neocortex
17:05	Veronika Koren Efficient encoding, transmission and transformation of sensory features in a multilayer spiking network
17:25	Closing remarks

Abstract submissions

Abstracts will be made publicly available at the end of the abstract submissions deadline for blinded public comments and ratings. We will select the most highly rated abstracts for contributed talks and flash 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, and abstracts selected for a flash talk, will be presented as posters.

Abstract submission deadline. Closed.

Format

• Two half days
• 4 invited talks
• 7 contributed talks
• Flash talks by selected poster presenters
• Virtual poster session

SNUFA logo courtesy of Skala Art