Computational Neuroscience: Computational Vision

We develop novel computational methods to study how the brain analyzes and represents visual information.

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About

Our research team is interested in the analysis and representation of visual information. Areas of focus include empirical study of the structure of visual scenes, construction of mathematical theories for representation and processing that structure.

People

A middle-aged man with gray hair and glasses wearing a light-colored plaid button-down shirt.

Eero P. Simoncelli

Director, Center for Computational Neuroscience

Portrait photo of Pierre-Etienne Fiquet

Pierre-Étienne Fiquet

Flatiron Research Fellow, Center for Computational Neuroscience

A young man with short light brown hair, glasses, and a teal sweater over a white collared shirt smiles softly at the camera. The background is softly blurred.

Florentin Guth

Flatiron Research Fellow, Center for Computational Neuroscience

A man with short dark hair, a trimmed beard, and mustache smiles slightly. He is wearing a light green collared shirt against a plain white background.

Guy Ohayon

Flatiron Research Fellow, Center for Computational Neuroscience

John Tian

Flatiron Research Fellow, Center for Computational Neuroscience

Publications

Learning Normalized Energy Models for Linear Inverse Problems

arXiv:2605.15487, May 15, 2026

Nicolas Zilberstein, Santiago Segarra, E. Simoncelli, and F. Guth

There Will Be a Scientific Theory of Deep Learning

arXiv:2604.21691, April 23, 2026

Jamie Simon, Daniel Kunin, Alexander Atanasov, Enric Boix-Adser`, Blake Bordelon, J. Cohen, et al.

Natural Image Statistics, Visual Representation, and Denoising

Proceedings of the Analytical Connectionism Schools 2023--2024, March 1, 2026

Imran Thobani, Alisa Leshchenko, and E. Simoncelli