Eero P Simoncelli

Eero P Simoncelli

New York University

H-index: 95

North America-United States

About Eero P Simoncelli

Eero P Simoncelli, With an exceptional h-index of 95 and a recent h-index of 56 (since 2020), a distinguished researcher at New York University, specializes in the field of Computational Vision, Computational Neuroscience, Image Processing, Vision Science.

His recent articles reflect a diverse array of research interests and contributions to the field:

Foundations of visual form selectivity for neurons in macaque V1 and V2

Neuronal and behavioral responses to naturalistic texture images in macaque monkeys

Responses of neurons in macaque V4 to object and texture images

A polar prediction model for learning to represent visual transformations

Adaptive whitening with fast gain modulation and slow synaptic plasticity

Learning efficient coding of natural images with maximum manifold capacity representations

Catalyzing next-generation artificial intelligence through neuroai

Statistical whitening of neural populations with gain-modulating interneurons

Eero P Simoncelli Information

University

Position

Silver Professor of Neural Science Mathematics Data Science and Psychology

Citations(all)

104374

Citations(since 2020)

47255

Cited By

75177

hIndex(all)

95

hIndex(since 2020)

56

i10Index(all)

188

i10Index(since 2020)

126

Email

University Profile Page

New York University

Google Scholar

View Google Scholar Profile

Eero P Simoncelli Skills & Research Interests

Computational Vision

Computational Neuroscience

Image Processing

Vision Science

Top articles of Eero P Simoncelli

Title

Journal

Author(s)

Publication Date

Foundations of visual form selectivity for neurons in macaque V1 and V2

bioRxiv

Timothy D Oleskiw

Justin D Lieber

Eero P Simoncelli

J Anthony Movshon

2024

Neuronal and behavioral responses to naturalistic texture images in macaque monkeys

bioRxiv

Corey M Ziemba

Robbe LT Goris

Gabriel M Stine

Richard K Perez

Eero P Simoncelli

...

2024

Responses of neurons in macaque V4 to object and texture images

bioRxiv

Justin D Lieber

Timothy D Oleskiw

Eero P Simoncelli

J Anthony Movshon

2024

A polar prediction model for learning to represent visual transformations

Advances in Neural Information Processing Systems

Pierre-Étienne Fiquet

Eero Simoncelli

2024/2/13

Adaptive whitening with fast gain modulation and slow synaptic plasticity

Advances in Neural Information Processing Systems (NeurIPS)

Lyndon R Duong

Eero P Simoncelli

Dmitri B Chklovskii

David Lipshutz

2024/2

Learning efficient coding of natural images with maximum manifold capacity representations

Advances in Neural Information Processing Systems

Thomas Yerxa

Yilun Kuang

Eero Simoncelli

SueYeon Chung

2024/2/13

Catalyzing next-generation artificial intelligence through neuroai

Anthony Zador

Sean Escola

Blake Richards

Bence Ölveczky

Yoshua Bengio

...

2023/3/22

Statistical whitening of neural populations with gain-modulating interneurons

arXiv preprint arXiv:2301.11955

Lyndon R Duong

David Lipshutz

David J Heeger

Dmitri B Chklovskii

Eero P Simoncelli

2023

V4 neurons are tuned for local and non-local features of natural planar shape

Journal of Vision

Timothy D Oleskiw

James H Elder

Ingo Fruend

Gerick M Lee

Andrew Sutter

...

2023/8/1

Generalization in diffusion models arises from geometry-adaptive harmonic representation

arXiv preprint arXiv:2310.02557

Zahra Kadkhodaie

Florentin Guth

Eero P Simoncelli

Stéphane Mallat

2023/10/4

Learning multi-scale local conditional probability models of images

arXiv preprint arXiv:2303.02984

Zahra Kadkhodaie

Florentin Guth

Stéphane Mallat

Eero P Simoncelli

2023/3/6

Adaptive Whitening in Neural Populations with Gain-modulating Interneurons

Proceedings of the 40th International Conference on Machine Learning, PMLR

Lyndon R Duong

David Lipshutz

David J Heeger

Dmitri B Chklovskii

Eero P Simoncelli

2023/7

Fixational Eye Movements Enhance the Precision of Visual Information Transmitted by the Primate Retina

bioRxiv

Eric G Wu

Nora Brackbill

Colleen Rhoades

Alexandra Kling

Alex R Gogliettino

...

2023/9/5

Polar prediction of natural videos

space

Pierre-Étienne H Fiquet

Eero P Simoncelli

2023/3

Adaptive coding efficiency in recurrent cortical circuits via gain control

arXiv preprint arXiv:2305.19869

Lyndon R Duong

Colin Bredenberg

David J Heeger

Eero P Simoncelli

2023/5/31

Neurons in macaque V4 prefer natural images to scrambled textures

Journal of Vision

Justin D Lieber

Timothy D Oleskiw

Eero P Simoncelli

J Anthony Movshon

2023/8/1

Comparing neural models using their perceptual discriminability predictions

bioRxiv

Jingyang Zhou

Chanwoo Chun

Ajay Subramanian

Eero P Simoncelli

2023

Plenoptic: A platform for synthesizing model-optimized visual stimuli

Journal of Vision

Lyndon Duong

Kathryn Bonnen

William Broderick

Pierre-Étienne Fiquet

Nikhil Parthasarathy

...

2023/8/1

Layerwise complexity-matched learning yields an improved model of cortical area V2

arXiv preprint arXiv:2312.11436

Nikhil Parthasarathy

Olivier J Hénaff

Eero P Simoncelli

2023/12/18

Efficient Coding of Local 2D Shape

James Elder

Timothy D Oleskiw

Ingo Fruend

Gerick M Lee

Andrew Sutter

...

2023

See List of Professors in Eero P Simoncelli University(New York University)

Co-Authors

H-index: 141
William T. Freeman

William T. Freeman

Massachusetts Institute of Technology

H-index: 97
David J Heeger

David J Heeger

New York University

H-index: 94
Edward H Adelson

Edward H Adelson

Massachusetts Institute of Technology

H-index: 84
Tony Movshon

Tony Movshon

New York University

H-index: 77
Zhou Wang

Zhou Wang

University of Waterloo

H-index: 72
Hany Farid

Hany Farid

University of California, Berkeley

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