Shenoy, Krishna V.
Howard Hughes Medical Institute · Stanford Medicine · Stanford University
36 papers on CoChatORCID 0000-0003-1534-9240
Most cited papers
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A low-power band of neuronal spiking activity dominated by local single units improves the performance of brain–machine interfaces
Nason, S. R., Vaskov, A. K., Willsey, M. S., Welle, E. J., An, H., Vu, P. P., Bullard, A. J., Nu, C. S., Kao, J. C., Shenoy, K. V., et al. (2020) · Nature Biomedical Engineering
Neuroscience and Neural EngineeringEEG and Brain-Computer Interfaces
Cited by 113
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Neural ensemble dynamics in dorsal motor cortex during speech in people with paralysis
Stavisky, S. D., Willett, F. R., Wilson, G. H., Murphy, B. A., Rezaii, P., Avansino, D. T., Memberg, W. D., Miller, J. P., Kirsch, R. F., Hochberg, L. R., et al. (2019) · eLife
Neuroscience and Neural EngineeringNeural dynamics and brain function
Cited by 105
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Human cortical prostheses: lost in translation?
Ryu, S. I., & Shenoy, K. V. (2009) · Neurosurgical Focus
Neuroscience and Neural EngineeringEEG and Brain-Computer Interfaces
Cited by 104
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Decoding spoken English from intracortical electrode arrays in dorsal precentral gyrus
Wilson, G. H., Stavisky, S. D., Willett, F. R., Avansino, D. T., Kelemen, J. N., Hochberg, L. R., Henderson, J. M., Druckmann, S., & Shenoy, K. V. (2020) · Journal of Neural Engineering
EEG and Brain-Computer InterfacesNeuroscience and Neural Engineering
Cited by 103
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Comparison of spike sorting and thresholding of voltage waveforms for intracortical brain-machine interface performance
Christie, B. P., Tat, D. M., Irwin, Z. T., Gilja, V., Nuyujukian, P., Foster, J. D., Ryu, S. I., Shenoy, K. V., Thompson, D. E., & Chestek, C. A. (2015) · Journal of Neural Engineering
Neuroscience and Neural EngineeringEEG and Brain-Computer Interfaces
Cited by 103
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Discovering Precise Temporal Patterns in Large-Scale Neural Recordings through Robust and Interpretable Time Warping
Williams, A. H., Poole, B., Maheswaranathan, N., Dhawale, A. K., Fisher, T., Wilson, C. D., Brann, D. H., Trautmann, E. M., Ryu, S., Shusterman, R., et al. (2020) · Neuron
Neural dynamics and brain functionMemory and Neural Mechanisms
Cited by 102
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A coaxial optrode as multifunction write-read probe for optogenetic studies in non-human primates
Ozden, I., Wang, J., Lu, Y., May, T., Lee, J., Goo, W., O'Shea, D. J., Kalanithi, P., Diester, I., Diagne, M., et al. (2013) · Journal of Neuroscience Methods
Neuroscience and Neural EngineeringPhotoreceptor and optogenetics research
Cited by 97
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Interim Safety Profile From the Feasibility Study of the BrainGate Neural Interface System
Rubin, D. B., Ajiboye, A. B., Barefoot, L., Bowker, M., Cash, S. S., Chen, D., Donoghue, J. P., Eskandar, E. N., Friehs, G., Grant, C., et al. (2023) · Neurology
Neuroscience and Neural EngineeringEEG and Brain-Computer Interfaces
Cited by 81
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Toward Optimal Target Placement for Neural Prosthetic Devices
Cunningham, J. P., Yu, B. M., Gilja, V., Ryu, S. I., & Shenoy, K. V. (2008) · Journal of Neurophysiology
EEG and Brain-Computer InterfacesNeuroscience and Neural Engineering
Cited by 25
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Speech-related dorsal motor cortex activity does not interfere with iBCI cursor control
Stavisky, S. D., Willett, F. R., Avansino, D. T., Hochberg, L. R., Shenoy, K. V., & Henderson, J. M. (2020) · Journal of Neural Engineering
EEG and Brain-Computer InterfacesNeuroscience and Neural Engineering
Cited by 25
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A wireless neural interface for chronic recording,
Harrison, R. R., Kier, R. J., Kim, S., Rieth, L., Warren, D. J., Ledbetter, N. M., Clark, G. A., Solzbacher, F., Chestek, C. A., Gilja, V., et al. (2008) · 2008 IEEE Biomedical Circuits and Systems Conference
Neuroscience and Neural EngineeringAnalog and Mixed-Signal Circuit Design
Cited by 19
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Signal-independent noise in intracortical brain–computer interfaces causes movement time properties inconsistent with Fitts’ law
Willett, F. R., Murphy, B. A., Memberg, W. D., Blabe, C. H., Pandarinath, C., Walter, B. L., Sweet, J. A., Miller, J. P., Henderson, J. M., Shenoy, K. V., et al. (2017) · Journal of Neural Engineering
EEG and Brain-Computer InterfacesMotor Control and Adaptation
Cited by 16
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