Shenoy, Krishna V.

Stimulus onset quenches neural variability: A widespread cortical phenomenon

Churchland, M. M., Yu, B. M., Cunningham, J. P., Sugrue, L. P., Cohen, M. R., Corrado, G. S., Newsome, W. T., Clark, A. M., Hosseini, P., Scott, B. B., et al. (2010) · Nature Neuroscience

Neural dynamics and brain functionNeuroscience and Neuropharmacology Research

Cited by 1,084

High-performance brain-to-text communication via handwriting

Willett, F. R., Avansino, D. T., Hochberg, L. R., Henderson, J. M., & Shenoy, K. V. (2021) · Nature

EEG and Brain-Computer InterfacesNeuroscience and Neural Engineering

Cited by 1,024

Cortical activity in the null space: permitting preparation without movement

Kaufman, M. T., Churchland, M. M., Ryu, S. I., & Shenoy, K. V. (2014) · Nature Neuroscience

Motor Control and AdaptationNeural dynamics and brain function

Cited by 831

A high-performance brain–computer interface

Santhanam, G., Ryu, S. I., Yu, B. M., Afshar, A., & Shenoy, K. V. (2006) · Nature

EEG and Brain-Computer InterfacesNeuroscience and Neural Engineering

Cited by 698

Computation Through Neural Population Dynamics

Vyas, S., Golub, M. D., Sussillo, D., & Shenoy, K. V. (2020) · Annual Review of Neuroscience

Neural dynamics and brain functionMemory and Neural Mechanisms

Cited by 671

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

Sussillo, D., Churchland, M. M., Kaufman, M. T., & Shenoy, K. V. (2015) · Nature Neuroscience

Motor Control and AdaptationNeural dynamics and brain function

Cited by 598

A high-performance speech neuroprosthesis

Willett, F. R., Kunz, E. M., Fan, C., Avansino, D. T., Wilson, G. H., Choi, E. Y., Kamdar, F., Glasser, M. F., Hochberg, L. R., Druckmann, S., et al. (2023) · Nature

EEG and Brain-Computer InterfacesNeuroscience and Neural Engineering

Cited by 581

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

Pandarinath, C., Nuyujukian, P., Blabe, C. H., Sorice, B. L., Saab, J., Willett, F. R., Hochberg, L. R., Shenoy, K. V., & Henderson, J. M. (2017) · eLife

EEG and Brain-Computer InterfacesNeuroscience and Neural Engineering

Cited by 566

A high-performance neural prosthesis enabled by control algorithm design

Gilja, V., Nuyujukian, P., Chestek, C. A., Cunningham, J. P., Yu, B. M., Fan, J. M., Churchland, M. M., Kaufman, M. T., Kao, J. C., Ryu, S. I., et al. (2012) · Nature Neuroscience

Neuroscience and Neural EngineeringEEG and Brain-Computer Interfaces

Cited by 564

An optogenetic toolbox designed for primates

Diester, I., Kaufman, M. T., Mogri, M., Pashaie, R., Goo, W., Yizhar, O., Ramakrishnan, C., Deisseroth, K., & Shenoy, K. V. (2011) · Nature Neuroscience

Photoreceptor and optogenetics researchNeuroscience and Neuropharmacology Research

Cited by 443

A central source of movement variability

Churchland, M. M., Afshar, A., & Shenoy, K. V. (2006) · Neuron

Motor Control and AdaptationNeural dynamics and brain function

Cited by 393

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

Churchland, M. M., & Shenoy, K. V. (2007) · Journal of Neurophysiology

Motor Control and AdaptationNeural dynamics and brain function

Cited by 356

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

Chestek, C. A., Gilja, V., Nuyujukian, P., Foster, J. D., Fan, J. M., Kaufman, M. T., Churchland, M. M., Rivera-Alvidrez, Z., Cunningham, J. P., Ryu, S. I., et al. (2011) · Journal of Neural Engineering

Neuroscience and Neural EngineeringEEG and Brain-Computer Interfaces

Cited by 350

Clinical translation of a high-performance neural prosthesis

Gilja, V., Pandarinath, C., Blabe, C. H., Nuyujukian, P., Simeral, J. D., Sarma, A. A., Sorice, B. L., Perge, J. A., Jarosiewicz, B., Hochberg, L. R., et al. (2015) · Nature Medicine

Neuroscience and Neural EngineeringEEG and Brain-Computer Interfaces

Cited by 343

Virtual typing by people with tetraplegia using a self-calibrating intracortical brain-computer interface

Jarosiewicz, B., Sarma, A. A., Bacher, D., Masse, N. Y., Simeral, J. D., Sorice, B., Oakley, E. M., Blabe, C., Pandarinath, C., Gilja, V., et al. (2015) · Science Translational Medicine

EEG and Brain-Computer InterfacesNeuroscience and Neural Engineering

Cited by 340

A theory of multineuronal dimensionality, dynamics and measurement

Gao, P., Trautmann, E., Yu, B., Santhanam, G., Ryu, S., Shenoy, K., & Ganguli, S. (2017) · bioRxiv (Cold Spring Harbor Laboratory)

Neural dynamics and brain functionMemory and Neural Mechanisms

Cited by 332

Large-scale neural recordings with single neuron resolution using Neuropixels probes in human cortex

Paulk, A. C., Kfir, Y., Khanna, A. R., Mustroph, M. L., Trautmann, E. M., Soper, D. J., Stavisky, S. D., Welkenhuysen, M., Dutta, B., Shenoy, K. V., et al. (2022) · Nature Neuroscience

Neuroscience and Neural EngineeringNeural dynamics and brain function

Cited by 283

Accurate Estimation of Neural Population Dynamics without Spike Sorting

Trautmann, E. M., Stavisky, S. D., Lahiri, S., Ames, K. C., Kaufman, M. T., O’Shea, D. J., Vyas, S., Sun, X., Ryu, S. I., Ganguli, S., et al. (2019) · Neuron

Neural dynamics and brain functionNeuroscience and Neural Engineering

Cited by 255

Flexible multitask computation in recurrent networks utilizes shared dynamical motifs

Driscoll, L., Shenoy, K., & Sussillo, D. (2022) · Nature Neuroscience

Neural Networks and ApplicationsNeural dynamics and brain function

Cited by 217

Hand Knob Area of Premotor Cortex Represents the Whole Body in a Compositional Way

Willett, F. R., Deo, D. R., Avansino, D. T., Rezaii, P., Hochberg, L. R., Henderson, J. M., & Shenoy, K. V. (2020) · Cell

Motor Control and AdaptationTactile and Sensory Interactions

Cited by 171

Cortical control of a tablet computer by people with paralysis

Nuyujukian, P., Albites Sanabria, J., Saab, J., Pandarinath, C., Jarosiewicz, B., Blabe, C. H., Franco, B., Mernoff, S. T., Eskandar, E. N., Simeral, J. D., et al. (2018) · PLOS ONE

EEG and Brain-Computer InterfacesNeuroscience and Neural Engineering

Cited by 170

Home Use of a Percutaneous Wireless Intracortical Brain-Computer Interface by Individuals With Tetraplegia

Simeral, J. D., Hosman, T., Saab, J., Flesher, S. N., Vilela, M., Franco, B., Kelemen, J. N., Brandman, D. M., Ciancibello, J. G., Rezaii, P. G., et al. (2021) · IEEE Transactions on Biomedical Engineering

EEG and Brain-Computer InterfacesNeuroscience and Neural Engineering

Cited by 165

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

Kemere, C., Santhanam, G., Yu, B. M., Afshar, A., Ryu, S. I., Meng, T. H., & Shenoy, K. V. (2008) · Journal of Neurophysiology

EEG and Brain-Computer InterfacesNeuroscience and Neural Engineering

Cited by 157

Power-saving design opportunities for wireless intracortical brain–computer interfaces

Even-Chen, N., Muratore, D. G., Stavisky, S. D., Hochberg, L. R., Henderson, J. M., Murmann, B., & Shenoy, K. V. (2020) · Nature Biomedical Engineering

Neuroscience and Neural EngineeringAnalog and Mixed-Signal Circuit Design

Cited by 118