SNUFA 2024
SNUFA 2024: Spiking Neural networks as Universal Function Approximators
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,
- Friedemann Zenke.
links
Laurent U Perrinet
Researcher in Computational Neuroscience
My research interests include Machine Learning and computational neuroscience applied to Vision.