Research in the Serre lab focuses on understanding the brain mechanisms underlying visual recognition
Our long-term goal is to help realize one of the oldest dreams in artificial intelligence: to reverse-engineer the brain and build machines that can see and interpret the visual world as well as humans do. Achieving such an ambitious goal would give scientists a powerful tool to uncover and understand key mechanisms of human perception and cognition and create a new generation of “seeing” machines. To tackle this problem, the Serre lab combines experimental and computational work to try to answer fundamental questions in visual perception from invariant visual recognition as well as color, motion and depth processing to attention and eye movements. In addition, an active area of research in the Serre lab is the development of computer vision systems for the automated analysis of animal and human behavioral data.
Software developed by our group as well as various computer vision databases collected by our group and other resources can be found here.
Brown students interested in conducting research in the lab are encouraged to come to Prof. Serre’s (walkin) office hours with a printed copy of their CV.
Prospective PhD students can find information about our graduate programs here.
Prospective postdoc applicants should email Prof. Serre directly.
Our work is supported by NSF early career award (IIS-1252951), DARPA young faculty award (N66001-14-1-4037) and the Human Frontier Science Program (RGP0006/2015). Additional support provided by the Brown Institute for Brain Sciences (BIBS), the Center for Vision Research (CVR) and the Center for Computation and Visualization (CCV). Previous work funded by ONR (N000141110743), DARPA (N10AP20013) and the Robert J. and Nancy D. Carney Fund for Scientific Innovation.
Address & Contact
Metcalf Building, Room 012 and 015
190 Thayer St, Providence, RI 02912