Dear all,
For those interested in spiking neural networks, this is a reminder that
the SNUFA 2023 submission deadline for contributed talks and posters is
closing soon (deadline Sept 29, 2023).
SNUFA is an annual online workshop focused on spiking networks as
universal function approximators. It brings together computational
neuroscience, machine learning, and neuromorphic engineering
researchers. Topics include, but not limited to, artificial and
biologically plausible learning algorithms and the dissection of trained
spiking circuits toward understanding neural processing.
Invited speakers this year are Rodolphe Sepulchre (KU Leuven and
University of Cambridge), Melika Payvand (INI, Zurich), Gabriel Ocker
(Boston University), and Jeff Krichmar (UC Irvine).
For details, see https://snufa.net/2023/
Hope to see you there.
Kind regards on behalf of the organizers,
Emre Neftci, Charlotte Frenkel, Dan Goodman, and Friedemann Zenke
