Hands-on With Sinabs and Speck

Join Gregor Lenz for an engaging hands-on session featuring Sinabs and Speck. Explore the world of neuromorphic engineering and spike-based machine learning.

Social share preview for Hands-On with Sinabs and Speck

Upcoming Workshops

Open-Source Neuromorphic Research Infrastructure: A Community Panel
Jens E. Pedersen, Hananel Hazan, James Knight, Alexandre Marcireau, Gregor Lenz, Dylan Muir, Christian Pehle, Terry Stewart, Marcel Stimberg
July 30, 2025
17:00 - 18:30 CEST

About the Speaker

Gregor Lenz graduated with a Ph.D. in neuromorphic engineering from Sorbonne University. He thinks that technology can learn a thing or two from how biological systems process information.
His main interests are event cameras that are inspired by the human retina and spiking neural networks that mimic human brain in an effort to teach machines to compute a bit more like humans do. At the very least there are some power efficiency gains to be made, but hopefully more! Also he loves to build open source software for spike-based machine learning. You can find more information on his personal website.
He is the maintainer of two open source projects in the field of neuromorphic computing, Tonic and expelliarmus.

Inspired? Share your work.

Share your expertise with the community by speaking at a workshop, student talk, or hacking hour. It’s a great way to get feedback and help others learn.

Related Workshops

Advances in Neuromorphic Visual Place Recognition

Advances in Neuromorphic Visual Place Recognition

Tobias Fischer shares advances in neuromorphic visual place recognition.

The ELM Neuron: An Efficient and Expressive Cortical Neuron Model Can Solve Long-Horizon Tasks

The ELM Neuron: An Efficient and Expressive Cortical Neuron Model Can Solve Long-Horizon Tasks

Aaron tells us about the Expressive Leaky Memory (ELM) neuron model, a biologically inspired phenomenological model of a cortical neuron.

PEPITA - A Forward-Forward Alternative to Backpropagation

PEPITA - A Forward-Forward Alternative to Backpropagation

Explore PEPITA, a forward-forward approach as an alternative to backpropagation, presented by Giorgia Dellaferrera. Learn about its advantages and implementation with PyTorch.