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Research Staff

Eero P. Simoncelli, Ph.D.

Director, Center for Computational Neuroscience

Affiliations
  • Professor of Neural Science, Mathematics, Data Science and Psychology, New York University
Website
as.nyu.edu/faculty/eero-p-simoncelli.html

Bio

Eero P. Simoncelli is the inaugural director of the Center for Computational Neuroscience. He received his B.S. in physics (summa cum laude) in 1984 from Harvard University, studied applied mathematics at Cambridge University for a year and a half and then received his M.S. in 1988 and his Ph.D. in 1993, both in electrical engineering, from Massachusetts Institute of Technology. He was an assistant professor of computer and information science at the University of Pennsylvania from 1993 until 1996. He moved to New York University in September 1996, where he is currently a professor of neural science, mathematics, data science and psychology. He received an NSF Faculty Early Career Development (CAREER) grant in 1996, a Sloan Research Fellowship in 1998 and became an Investigator of the Howard Hughes Medical Institute in 2000. Simoncelli is also a Fellow of the Institute of Electrical and Electronics Engineers. His research interests span a wide range of topics in the representation and analysis of visual images and sounds in both machine and biological vision systems.

Honors & Awards

  • National Academy of Sciences 2026
  • Swartz Prize 2024
  • American Academy of Arts and Sciences 2019

Publications

​From stuff to things: Responses of neurons in macaque V4 to textures and objects

bioRxiv:2024.02.20.581273, July 9, 2026

Justin D. Lieber, T. Oleskiw , Laura Palmieri, E. Simoncelli, and J. Movshon

Learning a Maximum Entropy Model for Visual Textures using Diffusion

arXiv:2606.17342, June 15, 2026

X. Zhao and E. Simoncelli

GEOPHYS: The Geometry of Physical Plausibility

arXiv:2606.20707, June 15, 2026

Christian Internò, Alexander Pondaven, Habon Issa, Fabio Pizzati, Francesco Pinto, Markus Olhofer, et al.

Learning Normalized Energy Models for Linear Inverse Problems

arXiv:2605.15487, May 15, 2026

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

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

Learning a distance measure from the information-estimation geometry of data

International Conference on Learning Representations (ICLR), arXiv:2510.02514, February 26, 2026

G. Ohayon, P. Fiquet, F. Guth, Jona Ballé, and E. Simoncelli

Research Teams

Computational Vision

Machine Learning at the Flatiron Institute

Software & Data

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NeMoS

Software
A statistical modeling framework for systems neuroscience specializing in GPU-accelerated optimizations.

Stories & Features

Portrait of Eero Simoncelli.

CCN Director Eero Simoncelli Elected to National Academy of Sciences

Portrait of Eero Simoncelli.

CCN Director Eero Simoncelli Awarded Swartz Prize

Two similar-looking lightbulbs shine while hanging from the ceiling.

2 Neuroscience Laws Governing How We Sense the World Finally United After 67 Years

Research Spotlight

Eero Simoncelli presented the talk “Learning the Distribution of Natural Images” at the Self Supervised Learning: The Final Frontier of AI conference hosted by the Flatiron Institute. Simons Foundation/Flatiron Institute

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Center for Computational Neuroscience

Understanding the human brain is one of the greatest and most challenging scientific frontiers of our time. CCN’s mission is to develop models, principles and conceptual frameworks that deepen our knowledge of brain function — both in health and in disease.

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