SeminarComputational Neuroscience
Spiking Neural networks as Universal Function Approximators - SNUFA 2021
Tara Hamilton, Dylan Muir, Katie Schumann, Henning Sprekeler
Nov 2, 2021
Like last year this online workshop brings together researchers in the field 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 Chiara Bartolozzi, Sander Bohté, Dan Goodman, and Friedemann Zenke.
SeminarComputational Neuroscience
Workshop on "Spiking neural networks as universal function approximators: Learning algorithms and applications
Sander Bohte, Iulia M. Comsa, Franz Scherr, Emre Neftci, Timothee Masquelier, Claudia Clopath, Richard Naud, Julian Goeltz
CWI, Google, TUG, UC Irvine, CNRS Toulouse, Imperial College, U Ottawa, Uni Bern
Aug 31, 2020
This is a two-day workshop. Sign up and see titles and abstracts on website.