Mathis Laboratory – Bertarelli Foundation Chair of Integrative Neuroscience

Mechanisms underlying adaptive behavior in intelligent systems.

The goal of the laboratory is to reverse engineer the neural circuits that drive adaptive motor behavior by studying artificial and natural intelligence. We hope that by understanding the neural basis of adaptive motor control we can open new avenues in therapeutic research for neurological disease, help build better machine learning tools, and crucially, provide fundamental insights into brain function.

Our Lab in the News:

Read about ongoing research in our lab, covered in Bloomberg BusinessWeek!
Read about how our toolbox DeepLabCut is used in animal research
New Funding awarded to the Mathis Lab! Read more here
Read about how we use large-scale imaging in our lab, as discussed in Nature.
We were awarded funding from CZI to support DeepLabCut!

EPFL News: