The tutorial titled “Open-Source Neuromorphic Circuit Design” ran in-person at the IEEE European Solid-State Circuits/Devices Conference, alongside co-presenters Prof. Charlotte Frenkel (TU Delft) and Prof. Rajit Manohar (Yale University). A live demo session with the notebooks that I’ll go through have been uploaded to GitHub at this link.

Tutorial Overview: As a bio-inspired alternative to conventional machine-learning accelerators, neuromorphic circuits outline promising energy savings for extreme-edge scenarios. While still being considered as an emerging approach, neuromorphic chip design is now being included in worldwide research roadmaps: the community is growing fast and is currently catalyzed by the development of open-source design tools and platforms. In this tutorial, we will survey the diversity of the open-source neuromorphic chip design landscape, from digital and mixed-signal small-scale proofs-of-concept to large-scale platforms. We will also provide a hands-on overview of the associated design challenges and guidelines, from which we will extract upcoming trends and promising use cases.