Byron Yu

Byron Yu

Carnegie Mellon University

H-index: 43

North America-United States

About Byron Yu

Byron Yu, With an exceptional h-index of 43 and a recent h-index of 32 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of Neuroscience, brain-computer interfaces, machine learning.

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

A theory of brain-computer interface learning via low-dimensional control

Dynamical constraints on neural population activity

Learning leaves a memory trace in motor cortex

Motor cortex retains and reorients neural dynamics during motor imagery

A neural basis of choking under pressure

Uncovering motifs of concurrent signaling across multiple neuronal populations

Automated customization of large-scale spiking network models to neuronal population activity

Krishna Shenoy (1968–2023)

Byron Yu Information

University

Position

___

Citations(all)

10529

Citations(since 2020)

5436

Cited By

7221

hIndex(all)

43

hIndex(since 2020)

32

i10Index(all)

73

i10Index(since 2020)

55

Email

University Profile Page

Carnegie Mellon University

Google Scholar

View Google Scholar Profile

Byron Yu Skills & Research Interests

Neuroscience

brain-computer interfaces

machine learning

Top articles of Byron Yu

Title

Journal

Author(s)

Publication Date

A theory of brain-computer interface learning via low-dimensional control

bioRxiv

Jorge Aurelio Menendez

Jay A Hennig

Matthew D Golub

Emily R Oby

Patrick T Sadtler

...

2024

Dynamical constraints on neural population activity

bioRxiv

Emily R Oby

Alan D Degenhart

Erinn M Grigsby

Asma Motiwala

Nicole T McClain

...

2024

Learning leaves a memory trace in motor cortex

Current Biology

Darby M Losey

Jay A Hennig

Emily R Oby

Matthew D Golub

Patrick T Sadtler

...

2024/4/8

Motor cortex retains and reorients neural dynamics during motor imagery

Nature Human Behaviour

Brian M Dekleva

Raeed H Chowdhury

Aaron P Batista

Steven M Chase

Byron M Yu

...

2024/1/29

A neural basis of choking under pressure

bioRxiv

Adam L Smoulder

Patrick J Marino

Emily R Oby

Sam E Snyder

Hiroo Miyata

...

2023

Uncovering motifs of concurrent signaling across multiple neuronal populations

Evren Gokcen

Anna Ivic Jasper

Alison Xu

Adam Kohn

Christian K Machens

...

2023/11/2

Automated customization of large-scale spiking network models to neuronal population activity

bioRxiv

Shenghao Wu

Chengcheng Huang

Adam Snyder

Matthew Smith

Brent Doiron

...

2023/9/22

Krishna Shenoy (1968–2023)

Neuron

Aaron P Batista

Chethan Pandarinath

Byron M Yu

2023/3/15

Dimensionality reduction of calcium-imaged neuronal population activity

Nature Computational Science

Tze Hui Koh

William E Bishop

Takashi Kawashima

Brian B Jeon

Ranjani Srinivasan

...

2022/12/29

Tracking momentary fluctuations in human attention with a cognitive brain-machine interface

Communications Biology

Abhijit M Chinchani

Siddharth Paliwal

Suhas Ganesh

Vishnu Chandrasekhar

Byron M Yu

...

2022/12/8

Disentangling the flow of signals between populations of neurons

Nature Computational Science

Evren Gokcen

Anna I Jasper

João D Semedo

Amin Zandvakili

Adam Kohn

...

2022/8

Feedforward and feedback interactions between visual cortical areas use different population activity patterns

Nature communications

João D Semedo

Anna I Jasper

Amin Zandvakili

Aravind Krishna

Amir Aschner

...

2022/3/1

How learning unfolds in the brain: toward an optimization view

Jay A Hennig

Emily R Oby

Darby M Losey

Aaron P Batista

Byron M Yu

...

2021/12/1

A stable population code for attention in prefrontal cortex leads a dynamic attention code in visual cortex

Journal of Neuroscience

Adam C Snyder

M Yu Byron

Matthew A Smith

2021/11/3

Bridging neuronal correlations and dimensionality reduction

Neuron

Akash Umakantha

Rudina Morina

Benjamin R Cowley

Adam C Snyder

Matthew A Smith

...

2021/9/1

Learning is shaped by abrupt changes in neural engagement

Nature Neuroscience

Jay A Hennig

Emily R Oby

Matthew D Golub

Lindsay A Bahureksa

Patrick T Sadtler

...

2021/5

Method of incremental training to create new patterns of physiological control signals

2021/12/9

Slow drift of neural activity as a signature of impulsivity in macaque visual and prefrontal cortex

Neuron

Benjamin R Cowley

Adam C Snyder

Katerina Acar

Ryan C Williamson

M Yu Byron

...

2020/11/11

Principles of corticocortical communication: proposed schemes and design considerations

Adam Kohn

Anna I Jasper

João D Semedo

Evren Gokcen

Christian K Machens

...

2020/9/1

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

Nature biomedical engineering

Alan D Degenhart

William E Bishop

Emily R Oby

Elizabeth C Tyler-Kabara

Steven M Chase

...

2020/7

See List of Professors in Byron Yu University(Carnegie Mellon University)