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

Systems and Methods for Decoding Intended Symbols from Neural Activity

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

Methylphenidate modulates motor cortical dynamics and behavior

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

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

Google Scholar

Krishna V Shenoy Skills & Research Interests

Motor and Computational Neuroscience

Neuroengineering

Brain-Computer Interfaces

Neurotechnology

Top articles of Krishna V Shenoy

Preparatory activity and the expansive null-space

2024/3/5

Krishna V Shenoy
Krishna V Shenoy

H-Index: 53

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

2024/2/13

Brain control of bimanual movement enabled by recurrent neural networks

Scientific Reports

2024/1/18

Krishna V Shenoy
Krishna V Shenoy

H-Index: 53

Systems and Methods for Decoding Intended Symbols from Neural Activity

2023/12/21

Methylphenidate modulates motor cortical dynamics and behavior

bioRxiv

2023/10/17

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

Nature Communications

2023/10/16

Tian Wang
Tian Wang

H-Index: 5

Krishna V Shenoy
Krishna V Shenoy

H-Index: 53

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

bioRxiv

2023/10/12

Modified Neuropixels probes for recording human neurophysiology in the operating room

2023/10

A high-performance speech neuroprosthesis

Nature

2023/8/31

The dynamics and geometry of choice in premotor cortex

BioRxiv

2023/7/25

Krishna V Shenoy
Krishna V Shenoy

H-Index: 53

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

Neuron

2023/5/17

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

Neuron

2023/5/17

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

2019/3/5

Systems and methods decoding intended symbols from neural activity

2023/5/2

A brain-computer typing interface using finger movements

2023/4/24

Foram Kamdar
Foram Kamdar

H-Index: 1

Krishna V Shenoy
Krishna V Shenoy

H-Index: 53

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

Neurology

2023/3/14

Long-term unsupervised recalibration of cursor BCIs

bioRxiv

2023/2/4

Foram Kamdar
Foram Kamdar

H-Index: 1

Krishna V Shenoy
Krishna V Shenoy

H-Index: 53

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

bioRxiv

2023/2/3

Translating deep learning to neuroprosthetic control

bioRxiv

2023

Krishna V Shenoy
Krishna V Shenoy

H-Index: 53

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

Co-Authors

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