Universal Function
universal function approximators
Spiking Neural networks as Universal Function Approximators - SNUFA 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.
Workshop on "Spiking neural networks as universal function approximators: Learning algorithms and applications
This is a two-day workshop. Sign up and see titles and abstracts on website.