Our world is always changing: how do our brains adapt? We aim to understand the mechanisms underlying adaptive behavior in intelligence systems, aka “adaptive intelligence”, and develop new machine learning methods that enable us to do so.

 

Merging machine learning & neuroscience

The lab revolves around two interactive areas: developing open source machine learning tools & uncovering neural dynamics during adaptive behaviors. Specifically, we design behavioral assays for mice, perform large-scale neural recordings, and build tools to aid in our quest of finding internal models in the brain.

Our Tools:

We are a team lead by Prof. Mackenzie Mathis at the Swiss Federal Institute of Technology, Lausanne (EPFL), and the lab is located at the flagship Campus Biotech (here is our EPFL lab website). We are part of the Brain Mind Institute, Neuro-X, Center for Intelligent Systems, and part of the European Lab for Learning and Intelligent Systems (ELLIS) at EPFL.


Latest Research Output Highlights:

Highlight #1🦓 CEBRA is published in Nature! Read the paper | Read the Research Briefing ➡️

Highlight #2 👯‍♂️BUCTD is published at ICCV2023! Read the paper | project website

Highlight #3 🔮 AmadeusGPT is published at NeurIPS2023!

See more below!