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SNUFA 2026

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.

Program committee. Sacha van Albada, Jason Eshraghian, Dan Goodman, and Friedemann Zenke.

Key information

Workshop. 4-5 November 2026, European afternoons (online).

Invited speakers. Giulia D’Angelo (Czech Technical University in Prague), Eugene Izhikevich (Brain Corp and DeepSpike), Mihai Petrovici (University of Bern), Susanne Schreiber (Humboldt University)

Format

Registration

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Attendance is free, but registration is required (to receive the streaming links).

Abstract submission

Abstract submission is now closed.

Agenda

Click here for all abstracts.

Time (CET) Session Local date/time
November 4th    
14:00 Welcome by the organizers
  Session 1 Chaired by Sacha van Albada
14:10 Susanne Schreiber (Humboldt University)
14:55 Huihong Li
Firing Rate Homeostasis Improves Learning Through Irregular Spiking
15:15 Lennart P. L. Landsmeer
A General Theory of Exact Gradients in Spiking Neural Networks & The Potential of Biorealistic Neuron Models
15:35 Break
  Session 2 Chaired by Dan Goodman
16:05 Mihai Petrovici (University of Bern)
Thinking at the speed of light
16:50 Christian Klos
Time-reversed event-based simulations enable memory-efficient exact gradient descent in spiking neural networks
17:10 Flash talks by selected poster presenters
17:30 Poster session
November 5th    
14:00 Welcome to day 2
  Session 3 Chaired by Friedemann Zenke
14:05 Eugene Izhikevich (Brain Corp and DeepSpike)
Spiking Manifesto
14:50 Alireza Valizadeh
Synaptic plasticity selects transmission delays for resonant communication in spiking networks
15:10 Simon Schultz
Spike timing neural manifolds for learning, memory and computation in the brain
15:30 Break
  Session 4 Chaired by Jason Eshraghian
16:00 Giulia D’Angelo (Czech Technical University)
What’s catching your eye? — Event-driven sensing and neuromorphic computing for active vision
16:45 Anindya Ghosh
Where forgetting lives in a spiking continual-learning memory
17:05 Robin Duvoisin
A Framework for Energy-Efficient Neural Coding
17:25 Closing remarks