Gregor Lenz

Co-Founder & CTO at Neurobus, PhD in neuromorphic engineering. Focuses on event cameras, SNNs, and open-source software. Maintains Tonic & Expelliarmus.

Contributions

Activity Timeline

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!

2024

Join us for a talk by Maxence Ernoult, Research Scientist at Rain, on accelerating inference and training at the edge.

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

2023

Explore neural-inspired computing with Brad Aimone, a leading neuroscientist at Sandia Labs. Join us for insights into next-gen technology and neuroscience.

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.

Discover the fastest Spiking Neural Network (SNN) frameworks for deep learning-based optimization. Performance, flexibility, and more analyzed in-depth

Join Dr. Federico Corradi as he explores low-power spiking neural network processing systems, offering insights into energy-efficient computing for extreme-edge applications.

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

Dive into evolutionary optimization techniques for neuromorphic systems with Catherine Schuman, an expert in the field. Watch the recorded workshop for valuable insights.

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.

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.

Dive into the world of applied brain research with Trevor Bekolay. Explore learning, memory, and neural simulations in this insightful recorded session