Alexander Mathis Group of Computational Neuroscience & AI

Broadly speaking, we work at the intersection of computational neuroscience and machine learning. Ultimately, we are interested in reverse engineering the algorithms of the brain, in order to figure out how the brain works and to build better artificial intelligence systems.

Research focus

Machine Learning Tools for Animal Behavior Analysis

See more

Neural Network Modeling of Sensorimotor Representations

See more

DeepLabCut-Live! real-time marker-less motion capture for animals

See more
Camille Goemans, Mackenzie Mathis, and Maria Brbić. Credit: EPFL

Three EPFL researchers awarded SNSF Starting Grants in life sciences

— Three EPFL professors, Camille Goemans, Mackenzie Mathis, and Maria Brbić, have been awarded prestigious SNSF Starting Grants for their innovative research projects tackling critical scientific and societal challenges.

A simulated fruit fly navigates through a dynamic, obstacle-filled environment, showcasing NeuroMechFly v2’s enhanced sensory and motor integration in a virtual world. Credit: Ramdya laboratory, EPFL.

Simulating how fruit flies see, smell, and navigate

— Scientists at EPFL have advanced their NeuroMechFly model, simulating fruit fly movement in the real world. With integrated vision and smell, it helps us understand brain-body coordination, setting a path for neuroengineering's role in robotics and AI.

© 2024 EPFL

Jordan Squair honored with Bayer Foundation award in Medicine

— Jordan Squair, senior scientist at EPFL, has been honored with the Bayer Foundation 2024 Early Excellence in Science Award for his pioneering work in neuroprosthetics and regenerative medicine.