2026 Byron M. Yu: 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	42	8193	7960	3510	3377	92	11689

Overview

Byron M. Yu is affiliated with Carnegie Mellon University in the United States and specializes in neuroscience, with a specific focus on cognitive neuroscience, cellular and molecular neuroscience, social psychology, artificial intelligence, and developmental and educational psychology. Their research portfolio includes a significant number of publications related to neural dynamics and brain function, EEG and brain-computer interfaces, visual perception and processing mechanisms, neuroscience and neural engineering, neural and behavioral psychology studies, functional brain connectivity studies, and motor control and adaptation.

Their recent notable papers include:

Stabilization of a brain-computer interface via the alignment of low-dimensional spaces of neural activity (2020, Nature Biomedical Engineering)
Slow Drift of Neural Activity as a Signature of Impulsivity in Macaque Visual and Prefrontal Cortex (2020, Neuron)
Feedforward and feedback interactions between visual cortical areas use different population activity patterns (2022, Nature Communications)
Principles of Corticocortical Communication: Proposed Schemes and Design Considerations (2020, Trends in Neurosciences)
Statistical methods for dissecting interactions between brain areas (2020, Current Opinion in Neurobiology)

Frequent co-authors collaborating with Byron M. Yu include:

Aaron P. Batista
Steven M. Chase
Emily R. Oby
Matthew A. Smith
Christian K. Machens

Their publications appear regularly in a number of scientific journals and venues, with multiple contributions to:

bioRxiv (Cold Spring Harbor Laboratory)
Neuron
Nature Computational Science
Nature Neuroscience
Journal of Neuroscience

Byron M. Yu's research concentrates mainly on Neuroscience, with 96 publications in this field. Within this broad domain, their work covers cognitive neuroscience extensively with 80 related publications, followed by cellular and molecular neuroscience (14 publications). Additional interests include social psychology with 4 works, artificial intelligence with 3, and developmental and educational psychology represented in 2 publications.

The main topics explored in their research are diverse and include:

Neural dynamics and brain function
EEG and Brain-Computer Interfaces
Visual perception and processing mechanisms
Neuroscience and Neural Engineering
Neural and Behavioral Psychology Studies
Functional Brain Connectivity Studies
Motor Control and Adaptation

Best Publications

Dimensionality reduction for large-scale neural recordings.

John P Cunningham;Byron M Yu

1308
Citations
Stimulus onset quenches neural variability: a widespread cortical phenomenon

Mark M. Churchland;Byron M. Yu;Byron M. Yu;John P. Cunningham;Leo P. Sugrue;Leo P. Sugrue

1286
Citations
A high-performance brain–computer interface

Gopal Santhanam;Stephen I. Ryu;Byron M. Yu;Afsheen Afshar

910
Citations
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity

Byron M Yu;John P Cunningham;Gopal Santhanam;Stephen I. Ryu

813
Citations
Neural constraints on learning

Patrick T. Sadtler;Kristin M. Quick;Matthew D. Golub;Steven M. Chase

763
Citations
A high-performance neural prosthesis enabled by control algorithm design

Vikash Gilja;Paul Nuyujukian;Cindy A Chestek;John P Cunningham;John P Cunningham

638
Citations
Neural Variability in Premotor Cortex Provides a Signature of Motor Preparation

Mark M. Churchland;Byron M. Yu;Stephen I. Ryu;Gopal Santhanam

591
Citations
Cortical Areas Interact through a Communication Subspace.

João D. Semedo;João D. Semedo;Amin Zandvakili;Christian K. Machens;Byron M. Yu

387
Citations
A theory of multineuronal dimensionality, dynamics and measurement

Gao P;Trautmann E;Yu B;Santhanam G

338
Citations
Single-Trial Neural Correlates of Arm Movement Preparation

Afsheen Afshar;Gopal Santhanam;Byron M. Yu;Byron M. Yu;Stephen I. Ryu;Stephen I. Ryu

296
Citations
Learning by neural reassociation.

Matthew D. Golub;Matthew D. Golub;Patrick T. Sadtler;Patrick T. Sadtler;Emily R. Oby;Emily R. Oby;Kristin M. Quick;Kristin M. Quick

270
Citations
Empirical models of spiking in neural populations

Jakob H Macke;Lars Buesing;John P Cunningham;Byron M Yu

234
Citations
New neural activity patterns emerge with long-term learning.

Emily R. Oby;Matthew D. Golub;Matthew D. Golub;Jay A. Hennig;Alan D. Degenhart;Alan D. Degenhart

230
Citations
Techniques for extracting single-trial activity patterns from large-scale neural recordings

Mark M Churchland;Byron M Yu;Byron M Yu;Maneesh Sahani;Krishna V Shenoy

218
Citations
Stabilization of a brain-computer interface via the alignment of low-dimensional spaces of neural activity

Alan D. Degenhart;William E. Bishop;William E. Bishop;Emily R. Oby;Elizabeth C. Tyler-Kabara

206
Citations
Mixture of trajectory models for neural decoding of goal-directed movements

Byron M. Yu;Caleb Kemere;Gopal Santhanam;Afsheen Afshar

199
Citations
Detecting Neural-State Transitions Using Hidden Markov Models for Motor Cortical Prostheses

Caleb Kemere;Gopal Santhanam;Byron M. Yu;Afsheen Afshar

195
Citations
Single-neuron stability during repeated reaching in macaque premotor cortex.

Cynthia A. Chestek;Aaron P. Batista;Gopal Santhanam;Byron M. Yu

193
Citations
Reference frames for reach planning in macaque dorsal premotor cortex.

Aaron P. Batista;Gopal Santhanam;Byron M. Yu;Stephen I. Ryu

165
Citations
Roles of monkey premotor neuron classes in movement preparation and execution.

Matthew T. Kaufman;Mark M. Churchland;Gopal Santhanam;Byron M. Yu

153
Citations
Slow Drift of Neural Activity as a Signature of Impulsivity in Macaque Visual and Prefrontal Cortex

Benjamin R. Cowley;Adam C. Snyder;Katerina Acar;Ryan C. Williamson

150
Citations
Factor-Analysis Methods for Higher-Performance Neural Prostheses

Gopal Santhanam;Byron M. Yu;Vikash Gilja;Stephen I. Ryu

129
Citations

Frequent Co-Authors

Stephen I. Ryu Stanford University

Krishna V. Shenoy Stanford University

Maneesh Sahani University College London

John P. Cunningham Columbia University

Mark M. Churchland Columbia University

Adam Kohn Albert Einstein College of Medicine

Teresa H. Meng Stanford University

Brent Doiron University of Pittsburgh

Andrew B. Schwartz University of Pittsburgh

Joseph M. Kahn Stanford University

External Links

Personal website of Byron M. Yu

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