K
Krishna V. Shenoy
Researcher at Stanford University
Publications - 288
Citations - 23911
Krishna V. Shenoy is an academic researcher from Stanford University. The author has contributed to research in topics: Motor cortex & Population. The author has an hindex of 70, co-authored 273 publications receiving 19162 citations. Previous affiliations of Krishna V. Shenoy include University of Turku & Howard Hughes Medical Institute.
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Journal ArticleDOI
Context-dependent computation by recurrent dynamics in prefrontal cortex
TL;DR: This work studies prefrontal cortex activity in macaque monkeys trained to flexibly select and integrate noisy sensory inputs towards a choice, and finds that the observed complexity and functional roles of single neurons are readily understood in the framework of a dynamical process unfolding at the level of the population.
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Neural population dynamics during reaching
Mark M. Churchland,John P. Cunningham,John P. Cunningham,Matthew T. Kaufman,Justin D Foster,Paul Nuyujukian,Stephen I. Ryu,Stephen I. Ryu,Krishna V. Shenoy +8 more
TL;DR: It is found that motor cortex responses during reaching contain a brief but strong oscillatory component, something quite unexpected for a non-periodic behaviour.
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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,Marlene R. Cohen,Marlene R. Cohen,Greg S. Corrado,Greg S. Corrado,William T. Newsome,William T. Newsome,Andrew M. Clark,Paymon Hosseini,Benjamin B. Scott,David C. Bradley,Matthew A. Smith,Adam Kohn,Adam Kohn,J. Anthony Movshon,Katherine M. Armstrong,Tirin Moore,Steve W. C. Chang,Lawrence H. Snyder,Stephen G. Lisberger,Nicholas J. Priebe,Ian M. Finn,David Ferster,Stephen I. Ryu,Gopal Santhanam,Maneesh Sahani,Krishna V. Shenoy +31 more
TL;DR: In this article, the authors measured neural variability in 13 extracellularly recorded datasets and one intra-cellularly recorded dataset from seven areas spanning the four cortical lobes in monkeys and cats and found that stimulus onset caused a decline in neural variability.
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A high-performance brain–computer interface
TL;DR: The design and demonstration, using electrode arrays implanted in monkey dorsal premotor cortex, of a manyfold higher performance BCI than previously reported are presented, indicating that a fast and accurate key selection system, capable of operating with a range of keyboard sizes, is possible.
Journal ArticleDOI
Cortical control of arm movements: a dynamical systems perspective.
TL;DR: How a dynamical systems perspective may help to understand why neural activity evolves the way it does, how neural activity relates to movement parameters, and how a unified conceptual framework may result are reviewed.