Every year, the SNUFA online workshop brings together computational neuroscience, machine learning, and neuromorphic engineering researchers 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 Katie Schuman, Timothée Masquelier, Dan Goodman, and Friedemann Zenke.

For more information see https://snufa.net/2022/

World Wide Neuro

Business Year

SNUFA 2022

C. B. Currin, K. Stecher, C. Pfeffer, G. Novarino, and T. P. Vogels (IST Austria)

Z. Liao, D. Hadjiabadi, S. Terada, I. Soltesz, A. Losonczy (Columbia)

Yonghong Tian (Peking University)

M. Nardin, J. W. Phillips, W. F. Podlaski, S. W. Keemink (IST Austria)

Charlotte Frenkel (TU Delft)

W. F. Podlaski, C. K. Machens (Champalimaud)

Panayiota Poirazi, Institute of Molecular Biology and Biotechnology (IMBB)

A. Galloni, A. Peddada, A. Milstein (Rutgers)

Welcome to day two

Priya Panda (Yale)

B. Yin, F. Corradi, and S. M. Bohte (CWI)

A. Subramoney, K. K. Nazeer, M. Schöne, C. Mayr, D. Kappel (University of Bochum)

Thomas Limbacher, Ozan Özdenizci, Robert Legenstein (TU Graz)

Welcome by the organizers