Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.
DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.
The Alexander Mathis Group of Computational Neuroscience & AI at EPFL focuses on reverse engineering the algorithms of the brain to understand its functioning and develop better artificial intelligence systems. Their research includes developing machine learning tools for animal behavior analysis and neural network modeling of sensorimotor representations. They have published work on task-driven neural network models predicting neural dynamics, contrasting action and posture coding, and exploring the role of striatal dopamine in behavioral dynamics. The group also works on student projects related to machine learning tools for animal behavior analysis and modeling of sensorimotor learning and control.
Alexander Mathis, Alberto Silvio Chiappa, Alessandro Marin Vargas, Axel Bisi