2023-09-21 : CONECT seminar by Jason Eshraghian

“Training spiking neural networks using lessons from deep learning using shiny spiking learning rules”.

2023-09-21 92:30
  • When: Thursday 2:30pm to 4pm
  • Where: salle Laurent Vinay

During this CONECT seminar, Jason Eshraghian will present his recent work on “Making spiking neural networks do useful things

This presentation will dive into how spiking neural networks can be trained to accomplish practical engineering problems. We will provide an overview of the various learning rules that have emerged over the past several decades, along with a few large-scale applications we’ve achieved with spike-based computation. This involves our spike-based language model, SpikeGPT, and our open-source Python library that adopts gradient-based optimization into spike-based models, snnTorch.

Jason K. Eshraghian is an Assistant Professor with the Department of Electrical and Computer Engineering, University of California, Santa Cruz and the maintainer of snnTorch.

In addition, we had a master class in the morning on snnTorch, get the notebook (upon request).

Hugo Ladret
Hugo Ladret
Phd candidate in Computational Neuroscience

During my PhD, I am focusing on the role of precision in natural and artificial neural networks.

Laurent U Perrinet
Laurent U Perrinet
Researcher in Computational Neuroscience

My research interests include Machine Learning and computational neuroscience applied to Vision.