A Brown University Research Group

We seek to understand the neural computations supporting visual perception

Our long-term goal is to understand the neural computations supporting visual perception. There is little doubt that even a partial solution to the question of which computations are carried out by the visual cortex would be a major breakthrough: It would begin to explain one of our most amazing abilities, vision; and it would open doors to other aspects of intelligence such as language, planning or reasoning. It would also help connect neurobiology and mathematics, making it possible to develop computer algorithms that follow the information processing principles used by biological organisms and honed by natural evolution.

Teaching and Advising

In fall’18, Prof. Serre will be teaching “Introduction to programming for mind, brain & behavior” (CLPS 0950). Prof. Serre’s office and advising hours are by appointment in Metcalf #343.

Prof. Serre will be on sabbatical from January 1, 2019 – December 31, 2019.

Prospective students

Brown students interested in conducting research in the lab are encouraged to email Prof. Serre’s with a copy of their course transcripts and CV. Expectations are that students would have taken an intro to CS sequence, at least one course in machine learning, computer vision and/or deep learning. Prospective Ph.D. students can find information about our graduate programs here. Prospective postdoc applicants should email Prof. Serre directly.

Address & Contact

Metcalf Building, Room 012-015
190 Thayer St, Providence, RI 02912


Our work is supported by currently supported by NIGMS/Advance-CTR (U54GM115677), NIH R21 MH 113870-01 and the Human Frontier Science Program (RGP0006/2015). Additional support provided by the Carney Institute for Brain Sciences, the Center for Vision Research (CVR) and the Center for Computation and Visualization (CCV). Previous work funded by NSF early career award (IIS-1252951), DARPA young faculty award (N66001-14-1-4037), ONR (N000141110743),  DARPA (N10AP20013) and the Robert J. and Nancy D. Carney Fund for Scientific Innovation.