Guillaume Bellec

Code resources - Publications - Teaching

Postdoc at the Laboratory of Computational Neuroscience
Ecole Polytechnique Fédérale de Lausanne (EPFL)
guillaume . bellec @ epfl . ch


I develop computational theories of brains and intelligent machines. I studied machine learning during my Master in Paris and I completed my PhD in the Institute for Theoretical Computer Science of TU Graz in Austria. Currently, I am a postdoc in the Laboratory of Computational Neuroscience at EPFL in Switzerland. My work is most well-known for showing that a competitive artificial intelligence can emerge from simple mathematical models of biologically realistic neural networks. Multiple of my publications are published in selective computer science conferences like NeurIPS or ICLR and more generalist journals like Nature Communications.

In 2019 I created Chord ai with another AI researcher Vivien Seguy. Chord ai is a mobile application using deep learning and artificial neural networks to recognize musical chords in real-time. The application and Chord ai has had more than 2,000,000 users on iOS and Android platforms in 2023. The technical achievement has been to bring state-of-the-art artificial intelligence technology to any popular power-limited mobile device. Besides the scientific challenge, I hope that it will help amateur musicians like me to improve their musical skills.

Open-source codes

Data-constrained simulations of biological neural networks

Models of brain plasticity and neuromorphic computing

Selected publications

For a complete list of publications, visit my google scholar profile.

(*: comparable contributions and teamwork)