World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
93
Citations
33536
World Ranking
982
National Ranking
523

Engineering and Technology

D-Index
88
Citations
32233
World Ranking
315
National Ranking
107

Research.com Recognitions

  • 2016 - Fellow of the Indian National Academy of Engineering (INAE)
  • 2002 - Fellow of Alfred P. Sloan Foundation

Overview

Krishna V. Shenoy is affiliated with Stanford University in the United States and has made significant contributions to the field of neuroscience. Their work spans multiple subfields including cognitive neuroscience, cellular and molecular neuroscience, electrical and electronic engineering, biomedical engineering, and artificial intelligence.

The scientist's research primarily focuses on topics such as EEG and brain-computer interfaces, neuroscience and neural engineering, neural dynamics and brain function, advanced memory and neural computing, muscle activation and electromyography studies, motor control and adaptation, and functional brain connectivity studies.

Krishna V. Shenoy has published extensively in various academic venues. The most frequent publication outlets include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature
  • Neuron
  • Nature Communications
  • Nature Neuroscience

Their recent papers include:

  • High-performance brain-to-text communication via handwriting (2021, Nature)
  • Computation Through Neural Population Dynamics (2020, Annual Review of Neuroscience)
  • A high-performance speech neuroprosthesis (2023, Nature)
  • Large-scale neural recordings with single neuron resolution using Neuropixels probes in human cortex (2022, Nature Neuroscience)
  • Hand Knob Area of Premotor Cortex Represents the Whole Body in a Compositional Way (2020, Cell)

Krishna V. Shenoy frequently collaborates with other researchers, with several coauthors appearing repeatedly in their body of work. Frequent collaborators include:

  • Leigh R. Hochberg
  • Jaimie M. Henderson
  • Francis R. Willett
  • Donald T. Avansino
  • Eric M. Trautmann

The scientist has been recognized by professional organizations, having been named a Fellow of the Indian National Academy of Engineering (INAE) in 2016 and a Fellow of the Alfred P. Sloan Foundation in 2002.

Best Publications

  • Context-dependent computation by recurrent dynamics in prefrontal cortex

    Valerio Mante;David Sussillo;Krishna V. Shenoy;William T. Newsome

  • Neural population dynamics during reaching

    Mark M. Churchland;John P. Cunningham;John P. Cunningham;Matthew T. Kaufman;Justin D. Foster

  • 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

  • Cortical control of arm movements: a dynamical systems perspective.

    Krishna V. Shenoy;Maneesh Sahani;Mark M. Churchland

  • A high-performance brain–computer interface

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

  • Cortical activity in the null space: permitting preparation without movement

    Matthew T Kaufman;Mark M Churchland;Stephen I Ryu;Krishna V Shenoy

  • 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

  • High-performance brain-to-text communication via handwriting

    Francis R. Willett;Francis R. Willett;Donald T. Avansino;Leigh R. Hochberg;Jaimie M. Henderson

  • Inferring single-trial neural population dynamics using sequential auto-encoders.

    Chethan Pandarinath;Daniel J. O’Shea;Jasmine Collins;Rafal Jozefowicz;Rafal Jozefowicz

  • A high-performance neural prosthesis enabled by control algorithm design

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

  • A neural network that finds a naturalistic solution for the production of muscle activity

    David Sussillo;Mark M Churchland;Matthew T Kaufman;Krishna V Shenoy

  • Computation Through Neural Population Dynamics.

    Saurabh Vyas;Matthew D Golub;David Sussillo;David Sussillo;Krishna V Shenoy

  • Neural Variability in Premotor Cortex Provides a Signature of Motor Preparation

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

  • Cortical Preparatory Activity: Representation of Movement or First Cog in a Dynamical Machine?

    Mark M. Churchland;John P. Cunningham;John P. Cunningham;Matthew T. Kaufman;Stephen I. Ryu;Stephen I. Ryu

  • High performance communication by people with paralysis using an intracortical brain-computer interface

    Chethan Pandarinath;Paul Nuyujukian;Christine H Blabe;Brittany L Sorice

  • An optogenetic toolbox designed for primates

    Ilka Diester;Matthew T Kaufman;Murtaza Mogri;Ramin Pashaie;Ramin Pashaie

  • A Central Source of Movement Variability

    Mark M. Churchland;Afsheen Afshar;Krishna V. Shenoy

  • A high-performance speech neuroprosthesis

    Unknown

  • Temporal Complexity and Heterogeneity of Single-Neuron Activity in Premotor and Motor Cortex

    Mark M. Churchland;Krishna V. Shenoy

  • Long-term stability of neural prosthetic control signals from silicon cortical arrays in rhesus macaque motor cortex

    Cynthia A Chestek;Vikash Gilja;Paul Nuyujukian;Justin D Foster

  • Clinical translation of a high-performance neural prosthesis

    Vikash Gilja;Chethan Pandarinath;Christine H Blabe;Paul Nuyujukian

Frequent Co-Authors

Stephen I. Ryu
Stephen I. Ryu Stanford University
Byron M. Yu
Byron M. Yu Carnegie Mellon University
Leigh R. Hochberg
Leigh R. Hochberg Harvard University
Jaimie M. Henderson
Jaimie M. Henderson Stanford University
Mark M. Churchland
Mark M. Churchland Columbia University
John P. Cunningham
John P. Cunningham Columbia University
Maneesh Sahani
Maneesh Sahani University College London
Teresa H. Meng
Teresa H. Meng Stanford University
Richard A. Andersen
Richard A. Andersen California Institute of Technology
Karl Deisseroth
Karl Deisseroth Stanford University

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