Context-dependent computation by recurrent dynamics in prefrontal cortex
2013 · Nature · 1,973 citations
https://doi.org/10.1038/nature12742
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Krishna V. Shenoy
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Krishna V. Shenoy is an academic researcher from Botanical Research Institute of Texas. The author has contributed to research in topics: EEG and Brain-Computer Interfaces & Neuroscience and Neural Engineering & Neural dynamics and brain function. The author has an h-index of 88, co-authored 255 publications.
ORCID: 0000-0003-1534-9240Papers by this author
worksStimulus onset quenches neural variability: a widespread cortical phenomenon
2010 · Nature Neuroscience · 1,163 citations
https://doi.org/10.1038/nn.2501
Gaussian-Process Factor Analysis for Low-Dimensional Single-Trial Analysis of Neural Population Activity
2009 · Journal of Neurophysiology · 718 citations
https://doi.org/10.1152/jn.90941.2008
Inferring single-trial neural population dynamics using sequential auto-encoders
2018 · Nature Methods · 696 citations
https://doi.org/10.1038/s41592-018-0109-9
A high-performance speech neuroprosthesis
2023 · Nature · 455 citations
https://doi.org/10.1038/s41586-023-06377-x
An optogenetic toolbox designed for primates
2011 · Nature Neuroscience · 446 citations
https://doi.org/10.1038/nn.2749
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