Understanding 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 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.

We are proud members of the Carney Institute for Brain Science and the Center for Computational Brain Science at Brown! We also work in close collaboration with and leverage resources from the Center for Computation and Visualization.

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Computational Neuroscience at Brown

Brown has strong expertise in computational approaches to higher-order brain function, from perception to cognition, spanning the departments of Neuroscience, Cognitive, Linguistic & Psychological Sciences, Applied Mathematics, Computer Science, Neurosurgery, Biostatistics, and Engineering. More information about the Carney Center for Computational Brain Science can be found here.

Prospective students

The lab is actively recruiting! Brown undergrad and MSc students interested in conducting research in the lab are encouraged to email Prof. Serre with a copy of their course transcript and resume/CV. Students are expected to have taken a CS intro sequence and at least one course in machine learning, computer vision, and/or deep learning.

Prospective Ph.D. students can apply to graduate programs in cognitive science, computer science, and/or neuroscience. They are welcome to email Prof. Serre. However, due to the high volume of applicants, Prof. Serre can only meet with prospective students after their application successfully passes the initial stage of admission.

Prospective postdoc applicants should email Prof. Serre directly.

Funding

Our work is currently supported by ONR (N00014-24-1-2026 and REPRISM MURI N00014-24-1-2603), NSF ( IIS-2402875 and EAR-1925481) and the ANR-3IA Artificial and Natural Intelligence Toulouse Institute (ANR-19-PI3A-0004).

Additional support is provided by the Carney Institute for Brain Science and the Center for Computation and Visualization (CCV) (via NIH Office of the Director grant S10OD025181.) We acknowledge the Cloud TPU hardware resources that Google graciously makes available via the TensorFlow Research Cloud (TFRC) program.