Krishna V Shenoy

Krishna V Shenoy

Stanford University

H-index: 83

North America-United States

About Krishna V Shenoy

Krishna V Shenoy, With an exceptional h-index of 83 and a recent h-index of 60 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Motor and Computational Neuroscience, Neuroengineering, Brain-Computer Interfaces, Neurotechnology.

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

Preparatory activity and the expansive null-space

Plug-and-Play Stability for Intracortical Brain-Computer Interfaces: A One-Year Demonstration of Seamless Brain-to-Text Communication

Brain control of bimanual movement enabled by recurrent neural networks

A brain-computer typing interface using finger movements

The dynamics and geometry of choice in premotor cortex

Methylphenidate modulates motor cortical dynamics and behavior

Interim safety profile from the feasibility study of the braingate neural interface system

Initial conditions combine with sensory evidence to induce decision-related dynamics in premotor cortex

Krishna V Shenoy Information

University

Position

& HHMI

Citations(all)

28001

Citations(since 2020)

14677

Cited By

18817

hIndex(all)

83

hIndex(since 2020)

60

i10Index(all)

203

i10Index(since 2020)

149

Email

University Profile Page

Stanford University

Google Scholar

View Google Scholar Profile

Krishna V Shenoy Skills & Research Interests

Motor and Computational Neuroscience

Neuroengineering

Brain-Computer Interfaces

Neurotechnology

Top articles of Krishna V Shenoy

Title

Journal

Author(s)

Publication Date

Preparatory activity and the expansive null-space

Mark M Churchland

Krishna V Shenoy

2024/3/5

Plug-and-Play Stability for Intracortical Brain-Computer Interfaces: A One-Year Demonstration of Seamless Brain-to-Text Communication

Advances in Neural Information Processing Systems

Chaofei Fan

Nick Hahn

Foram Kamdar

Donald Avansino

Guy Wilson

...

2024/2/13

Brain control of bimanual movement enabled by recurrent neural networks

Scientific Reports

Darrel R Deo

Francis R Willett

Donald T Avansino

Leigh R Hochberg

Jaimie M Henderson

...

2024/1/18

A brain-computer typing interface using finger movements

Nishal P Shah

Matthew S Willsey

Nick Hahn

Foram Kamdar

Donald T Avansino

...

2023/4/24

The dynamics and geometry of choice in premotor cortex

BioRxiv

Mikhail Genkin

Krishna V Shenoy

Chandramouli Chandrasekaran

Tatiana A Engel

2023/7/25

Methylphenidate modulates motor cortical dynamics and behavior

bioRxiv

Jessica R Verhein

Saurabh Vyas

Krishna V Shenoy

2023/10/17

Interim safety profile from the feasibility study of the braingate neural interface system

Neurology

Daniel B Rubin

A Bolu Ajiboye

Laurie Barefoot

Marguerite Bowker

Sydney S Cash

...

2023/3/14

Initial conditions combine with sensory evidence to induce decision-related dynamics in premotor cortex

Nature Communications

Pierre O Boucher

Tian Wang

Laura Carceroni

Gary Kane

Krishna V Shenoy

...

2023/10/16

Erratum: Discovering Precise Temporal Patterns in Large-Scale Neural Recordings through Robust and Interpretable Time Warping (Neuron (2020) 105 (2)(246–259. e8 …

Neuron

Alex H Williams

Ben Poole

Niru Maheswaranathan

Ashesh K Dhawale

Tucker Fisher

...

2023/5/17

Long-term unsupervised recalibration of cursor BCIs

bioRxiv

Guy H Wilson

Francis R Willett

Elias A Stein

Foram Kamdar

Donald T Avansino

...

2023/2/4

Discovering Precise Temporal Patterns in Large-Scale Neural Recordings through Robust and Interpretable Time Warping

Neuron

Alex H Williams

Ben Poole

Niru Maheswaranathan

Ashesh K Dhawale

Tucker Fisher

...

2023/5/17

Pseudo-linear Summation explains Neural Geometry of Multi-finger Movements in Human Premotor Cortex

bioRxiv

Nishal P Shah

Donald Avansino

Foram Kamdar

Claire Nicolas

Anastasia Kapitonava

...

2023/10/12

Large-scale high-density brain-wide neural recording in nonhuman primates

bioRxiv

Eric M Trautmann

Janis K Hesse

Gabriel M Stine

Ruobing Xia

Shude Zhu

...

2023/2/3

Multiplicative Recurrent Neural Network for Fast and Robust Intracortical Brain Machine Interface Decoders

2019/3/5

Modified Neuropixels probes for recording human neurophysiology in the operating room

Brian Coughlin

William Muñoz

Yoav Kfir

Michael J Young

Domokos Meszéna

...

2023/10

Systems and Methods for Decoding Intended Symbols from Neural Activity

2023/12/21

Translating deep learning to neuroprosthetic control

bioRxiv

Darrel R Deo

Francis R Willett

Donald T Avansino

Leigh R Hochberg

Jaimie M Henderson

...

2023

Systems and methods decoding intended symbols from neural activity

2023/5/2

A high-performance speech neuroprosthesis

Nature

Francis R Willett

Erin M Kunz

Chaofei Fan

Donald T Avansino

Guy H Wilson

...

2023/8/31

Benefits of sharing neurophysiology data from the BRAIN Initiative Research Opportunities in Humans Consortium

Vasiliki Rahimzadeh

Kathryn Maxson Jones

Mary A Majumder

Michael J Kahana

Ueli Rutishauser

...

2023/12/6

See List of Professors in Krishna V Shenoy University(Stanford University)

Co-Authors

H-index: 105
Richard Andersen

Richard Andersen

California Institute of Technology

H-index: 61
Stephen Ryu

Stephen Ryu

Stanford University

H-index: 59
Jaimie M. Henderson

Jaimie M. Henderson

Stanford University

H-index: 53
Maneesh Sahani

Maneesh Sahani

University College London

H-index: 53
Leigh Hochberg

Leigh Hochberg

Brown University

H-index: 49
John Cunningham

John Cunningham

Columbia University in the City of New York

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