Gregor Lenz
Co-Founder & CTO at Neurobus, PhD in neuromorphic engineering. Focuses on event cameras, SNNs, and open-source software. Maintains Tonic & Expelliarmus.
Gregor Lenz
Gregor Lenz, Co-Founder and CTO at Neurobus , 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.
He is the maintainer of two open source projects in the field of neuromorphic computing, Tonic and expelliarmus .
Contributions
Initiatives
- Founders
Founders of Open Neuromorphic
- Hardware Directory Initiative
Resource development Hardware Directory
- Workshop Hosting
Facilitating Workshops
Blog Posts
- Open Neuromorphic Evolves: Announcing Our Charter and First Executive Committee Election
May 15, 2025
Open Neuromorphic is introducing an organizational charter and holding its first Executive Committee elections to foster growth and collaboration. Learn more and get involved!
- Spiking Neural Network (SNN) Library Benchmarks
August 2, 2023
Discover the fastest Spiking Neural Network (SNN) frameworks for deep learning-based optimization. Performance, flexibility, and more analyzed in-depth
- Efficient Compression for Event-Based Data in Neuromorphic Applications
February 28, 2023
Discover methods to efficiently encode and store event-based data from high-resolution event cameras, striking a balance between file size and fast retrieval for spiking neural network training.
Workshops
- Accelerating Inference and Training at the Edge
March 5, 2024 at 18:00 - 19:30 CET
Join us for a talk by Maxence Ernoult, Research Scientist at Rain, on accelerating inference and training at the edge.
- The ELM Neuron: An Efficient and Expressive Cortical Neuron Model Can Solve Long-Horizon Tasks
February 27, 2024 at 18:00 - 19:30 CET
Aaron tells us about the Expressive Leaky Memory (ELM) neuron model, a biologically inspired phenomenological model of a cortical neuron.
- Programming Scalable Neuromorphic Algorithms with Fugu
December 19, 2023 at 18:00 - 19:30 CET
Explore neural-inspired computing with Brad Aimone, a leading neuroscientist at Sandia Labs. Join us for insights into next-gen technology and neuroscience.
- What's Catching Your Eye? The Visual Attention Mechanism
September 26, 2023 at 18:00 - 19:30 CET
Delve into the world of visual attention mechanisms with Giulia D'Angelo as she explores the interplay of bottom-up and top-down processes, offering insights into bio-inspired models for enhanced robotic perception and interaction.
- Low-power Spiking Neural Network Processing Systems for Extreme-Edge Applications
June 8, 2023 at 18:00 - 19:30 CET
Join Dr. Federico Corradi as he explores low-power spiking neural network processing systems, offering insights into energy-efficient computing for extreme-edge applications.
- Hands-On with Sinabs and Speck
April 4, 2023 at 18:00 - 19:30 CET
Join Gregor Lenz for an engaging hands-on session featuring Sinabs and Speck. Explore the world of neuromorphic engineering and spike-based machine learning.
- Evolutionary Optimization for Neuromorphic Systems
March 21, 2023 at 18:00 - 19:30 CET
Dive into evolutionary optimization techniques for neuromorphic systems with Catherine Schuman, an expert in the field. Watch the recorded workshop for valuable insights.
- Towards Training Robust Computer Vision Models for Neuromorphic Hardware
March 10, 2023 at 18:00 - 19:30 CET
Join Gregor Lenz as he delves into the world of event cameras and spiking neural networks, exploring their potential for low-power applications on SynSense's Speck chip. Discover the challenges in data, training, and deployment stages. Don't miss this talk on training robust computer vision models for neuromorphic hardware.
- Hands-On with Nengo Applied Brain Research
January 26, 2023 at 18:00 - 19:30 CET
Dive into the world of applied brain research with Trevor Bekolay. Explore learning, memory, and neural simulations in this insightful recorded session