2026 Bruno A. Olshausen: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	53	4673	4543	2167	2091	163	29141

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Computer Science

4673

4543

2167

2091

163

29141

Overview

Bruno A. Olshausen is affiliated with the University of California, Berkeley in the United States. Their research primarily spans the fields of Computer Science and Engineering, with a focus on subfields such as Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Cognitive Neuroscience, and Biophysics.

The scientist's work covers a variety of topics, including:

Advanced Memory and Neural Computing
Ferroelectric and Negative Capacitance Devices
Neural Networks and Reservoir Computing
Neural dynamics and brain function
Neural Networks and Applications
Visual perception and processing mechanisms
Domain Adaptation and Few-Shot Learning

Bruno A. Olshausen has published extensively in venues such as:

arXiv (Cornell University)
Neural Computation
Journal of Vision
Nature Communications
Scientific Reports

Some recent papers include:

"Tent: Fully Test-time Adaptation by Entropy Minimization", 2020, arXiv (Cornell University)
"Catalyzing next-generation Artificial Intelligence through NeuroAI", 2023, Nature Communications
"Vector Symbolic Architectures as a Computing Framework for Emerging Hardware", 2022, Proceedings of the IEEE
"High-acuity vision from retinal image motion", 2020, Journal of Vision
"Resonator Networks, 1: An Efficient Solution for Factoring High-Dimensional, Distributed Representations of Data Structures", 2020, Neural Computation

Frequent collaborators include:

Friedrich T. Sommer
Denis Kleyko
E. Paxon Frady
Pentti Kanerva
Spencer J. Kent

Best Publications

Emergence of simple-cell receptive field properties by learning a sparse code for natural images

Bruno A. Olshausen;Bruno A. Olshausen;David J. Field

7519
Citations
Sparse Coding with an Overcomplete Basis Set: A Strategy Employed by V1 ?

Bruno A. Olshausen;David J. Field

4754
Citations
Natural image statistics and neural representation

Eero P Simoncelli;Bruno A Olshausen

3064
Citations
Sparse coding of sensory inputs.

Bruno A Olshausen;David J Field

1847
Citations
A neurobiological model of visual attention and invariant pattern recognition based on dynamic routing of information

BA Olshausen;CH Anderson;DC Van Essen

1305
Citations
Do we know what the early visual system does

Matteo Carandini;Jonathan B. Demb;Valerio Mante;David J. Tolhurst

883
Citations
Natural image statistics and efficient coding.

B A Olshausen;D J Field

798
Citations
Shape perception reduces activity in human primary visual cortex

Scott O. Murray;Daniel Kersten;Bruno A. Olshausen;Paul Schrater

694
Citations
How Close Are We to Understanding V1

Bruno A. Olshausen;David J. Field

591
Citations
Sparse coding via thresholding and local competition in neural circuits

Christopher J. Rozell;Don H. Johnson;Richard G. Baraniuk;Bruno A. Olshausen

521
Citations
Book Review

Unknown

516
Citations
PROBABILISTIC FRAMEWORK FOR THE ADAPTATION AND COMPARISON OF IMAGE CODES

Michael S. Lewicki;Bruno A. Olshausen

416
Citations
Probabilistic Models of the Brain : Perception and Neural Function

Rajesh P. N. Rao;Bruno A. Olshausen;Michael S. Lewicki

379
Citations
Catalyzing next-generation Artificial Intelligence through NeuroAI

Unknown

308
Citations
Timecourse of neural signatures of object recognition

Jeffrey S. Johnson;Bruno A. Olshausen

301
Citations
Tent: Fully Test-Time Adaptation by Entropy Minimization

Dequan Wang;Evan Shelhamer;Shaoteng Liu;Bruno Olshausen

292
Citations
Learning Sparse Codes for Hyperspectral Imagery

A. S. Charles;B. A. Olshausen;C. J. Rozell

243
Citations
Processing shape, motion, and three-dimensional shape-from-motion in the human cortex

Scott O. Murray;Bruno A. Olshausen;David L. Woods

178
Citations
Discovering Hidden Factors of Variation in Deep Networks

Brian Cheung;Jesse A. Livezey;Arjun K. Bansal;Bruno A. Olshausen

171
Citations
High-Dimensional Computing as a Nanoscalable Paradigm

Abbas Rahimi;Sohum Datta;Denis Kleyko;Edward Paxon Frady

149
Citations
Data Sharing for Computational Neuroscience

Jeffrey L. Teeters;Kenneth D. Harris;K. Jarrod Millman;Bruno A. Olshausen

149
Citations
A multiscale dynamic routing circuit for forming size- and position-invariant object representations.

Bruno A. Olshausen;Bruno A. Olshausen;Charles H. Anderson;David C. Van Essen

137
Citations

Frequent Co-Authors

Jascha Sohl-Dickstein Google (United States)

David C. Van Essen Washington University in St. Louis

Don H. Johnson Rice University

Charles M. Gray Montana State University

Richard G. Baraniuk Rice University

H.-S. Philip Wong Stanford University

Chung H. Lam IBM (United States)

Hsiang-Lan Lung Macronix International (Taiwan)

Scott O. Murray University of Washington

David L. Woods University of California, Davis

External Links

Personal website of Bruno A. Olshausen Google Scholar page

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