World's Best Scientists 2026 revealed!
Eero P. Simoncelli

Eero P. Simoncelli

D-Index & Metrics

Neuroscience

D-Index
68
Citations
90324
World Ranking
2690
National Ranking
1260

Computer Science

D-Index
94
Citations
116478
World Ranking
475
National Ranking
260

Research.com Recognitions

  • 2019 - Fellow of the American Academy of Arts and Sciences
  • 2016 - Golden Brain Award, Minerva Foundation
  • 2009 - IEEE Fellow For contributions to statistical models of visual images
  • 1998 - Fellow of Alfred P. Sloan Foundation

Overview

Eero P. Simoncelli is affiliated with New York University in the United States. Their research spans several fields, primarily focusing on neuroscience and computer science, with significant contributions to cognitive neuroscience and computer vision.

The main fields of study covered by Simoncelli include:

  • Neuroscience
  • Computer Science

Within these, they have worked extensively in the following subfields:

  • Cognitive Neuroscience
  • Computer Vision and Pattern Recognition
  • Biophysics
  • Artificial Intelligence
  • Electrical and Electronic Engineering

The research topics frequently addressed by Simoncelli cover areas such as:

  • Neural dynamics and brain function
  • Visual perception and processing mechanisms
  • Visual Attention and Saliency Detection
  • Image and Signal Denoising Methods
  • Cell Image Analysis Techniques
  • Advanced Memory and Neural Computing
  • Neural Networks and Applications

Simoncelli has coauthored work with several researchers, including:

  • J. Anthony Movshon
  • Lyndon Duong
  • William F. Broderick
  • Zahra Kadkhodaie
  • Timothy D. Oleskiw

Their publications have appeared in a variety of venues, with the most frequent being:

  • arXiv (Cornell University)
  • Journal of Vision
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • Proceedings of the National Academy of Sciences

Selected recent papers by Eero P. Simoncelli include:

  • Image Quality Assessment: Unifying Structure and Texture Similarity, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Catalyzing next-generation Artificial Intelligence through NeuroAI, 2023, Nature Communications
  • Inference of nonlinear receptive field subunits with spike-triggered clustering, 2020, eLife
  • Primary visual cortex straightens natural video trajectories, 2021, Nature Communications
  • Mapping spatial frequency preferences across human primary visual cortex, 2022, Journal of Vision

Awards received by Simoncelli include:

  • Fellow of the American Academy of Arts and Sciences, 2019
  • Golden Brain Award, Minerva Foundation, 2016
  • IEEE Fellow, 2009, for contributions to statistical models of visual images
  • Fellow of Alfred P. Sloan Foundation, 1998

Best Publications

  • Image quality assessment: from error visibility to structural similarity

    Zhou Wang;A.C. Bovik;H.R. Sheikh;E.P. Simoncelli

  • Multiscale structural similarity for image quality assessment

    Z. Wang;E.P. Simoncelli;A.C. Bovik

  • Image denoising using scale mixtures of Gaussians in the wavelet domain

    J. Portilla;V. Strela;M.J. Wainwright;E.P. Simoncelli

  • Natural image statistics and neural representation

    Eero P Simoncelli;Bruno A Olshausen

  • A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients

    Javier Portilla;Eero P. Simoncelli

  • Shiftable multiscale transforms

    E.P. Simoncelli;W.T. Freeman;E.H. Adelson;D.J. Heeger

  • Spatio-temporal correlations and visual signalling in a complete neuronal population

    Jonathan William Pillow;Jonathon Shlens;Liam Paninski;Alexander Sher

  • End-to-end optimized image compression

    Johannes Ballé;Valero Laparra;Eero P. Simoncelli

  • The steerable pyramid: a flexible architecture for multi-scale derivative computation

    E.P. Simoncelli;W.T. Freeman

  • Multi-scale structural similarity for image quality assessment

    Zhou Wang;Eero P. Simoncelli;Alan C. Bovik

  • Motion illusions as optimal percepts

    Yair Weiss;Eero P. Simoncelli;Edward H. Adelson

  • A model of neuronal responses in visual area MT.

    Eero P. Simoncelli;David J. Heeger

  • Natural signal statistics and sensory gain control

    Odelia Schwartz;Eero P. Simoncelli

  • Noise characteristics and prior expectations in human visual speed perception

    Alan A Stocker;Eero P Simoncelli

  • Noise removal via Bayesian wavelet coring

    E.P. Simoncelli;E.H. Adelson

  • Image Quality Assessment: From Error Measurement to Structural Similarity

    Zhou Wang;Alan C. Bovik;Hamid R. Sheikh;Eero P. Simoncelli

  • Image compression via joint statistical characterization in the wavelet domain

    R.W. Buccigrossi;E.P. Simoncelli

  • Metamers of the ventral stream

    Jeremy Freeman;Eero P Simoncelli;Eero P Simoncelli;Eero P Simoncelli

  • Image Quality Assessment: Unifying Structure and Texture Similarity.

    Keyan Ding;Kede Ma;Shiqi Wang;Eero P. Simoncelli

  • Cardinal rules: Visual orientation perception reflects knowledge of environmental statistics

    Ahna R Girshick;Michael S Landy;Michael S Landy;Eero P Simoncelli

  • On Advances in Statistical Modeling of Natural Images

    A. Srivastava;A. B. Lee;E. P. Simoncelli;S.-C. Zhu

Frequent Co-Authors

J. Anthony Movshon
J. Anthony Movshon New York University
E. J. Chichilnisky
E. J. Chichilnisky Stanford University
Liam Paninski
Liam Paninski Columbia University
Zhou Wang
Zhou Wang University of Waterloo
Jonathan W. Pillow
Jonathan W. Pillow Princeton University
David J. Heeger
David J. Heeger New York University
Michael S. Landy
Michael S. Landy New York University
Hany Farid
Hany Farid University of California, Berkeley
Alexander Sher
Alexander Sher University of California, Santa Cruz

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