Krishna V Shenoy
Krishna V Shenoy
Stanford and Howard Hughes Medical Institute
Verified email at - Homepage
Cited by
Cited by
Neural population dynamics during reaching
MM Churchland, JP Cunningham, MT Kaufman, JD Foster, P Nuyujukian, ...
Nature 487 (7405), 51-56, 2012
Context-dependent computation by recurrent dynamics in prefrontal cortex
V Mante, D Sussillo, KV Shenoy, WT Newsome
nature 503 (7474), 78-84, 2013
Stimulus onset quenches neural variability: a widespread cortical phenomenon
MM Churchland, BM Yu, JP Cunningham, LP Sugrue, MR Cohen, ...
Nature neuroscience 13 (3), 369-378, 2010
A high-performance brain–computer interface
G Santhanam, SI Ryu, BM Yu, A Afshar, KV Shenoy
nature 442 (7099), 195-198, 2006
Cortical control of arm movements: a dynamical systems perspective
KV Shenoy, M Sahani, MM Churchland
Annual review of neuroscience 36 (1), 337-359, 2013
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity
BM Yu, JP Cunningham, G Santhanam, S Ryu, KV Shenoy, M Sahani
Advances in neural information processing systems 21, 2008
Cortical activity in the null space: permitting preparation without movement
MT Kaufman, MM Churchland, SI Ryu, KV Shenoy
Nature neuroscience 17 (3), 440-448, 2014
High-performance brain-to-text communication via handwriting
FR Willett, DT Avansino, LR Hochberg, JM Henderson, KV Shenoy
Nature 593 (7858), 249-254, 2021
Inferring single-trial neural population dynamics using sequential auto-encoders
C Pandarinath, DJ O’Shea, J Collins, R Jozefowicz, SD Stavisky, JC Kao, ...
Nature methods 15 (10), 805-815, 2018
A high-performance neural prosthesis enabled by control algorithm design
V Gilja, P Nuyujukian, CA Chestek, JP Cunningham, BM Yu, JM Fan, ...
Nature neuroscience 15 (12), 1752-1757, 2012
A neural network that finds a naturalistic solution for the production of muscle activity
D Sussillo, MM Churchland, MT Kaufman, KV Shenoy
Nature neuroscience 18 (7), 1025-1033, 2015
An optogenetic toolbox designed for primates
I Diester, MT Kaufman, M Mogri, R Pashaie, W Goo, O Yizhar, ...
Nature neuroscience 14 (3), 387-397, 2011
Cortical preparatory activity: representation of movement or first cog in a dynamical machine?
MM Churchland, JP Cunningham, MT Kaufman, SI Ryu, KV Shenoy
Neuron 68 (3), 387-400, 2010
Neural variability in premotor cortex provides a signature of motor preparation
MM Churchland, MY Byron, SI Ryu, G Santhanam, KV Shenoy
Journal of Neuroscience 26 (14), 3697-3712, 2006
High performance communication by people with paralysis using an intracortical brain-computer interface
C Pandarinath, P Nuyujukian, CH Blabe, BL Sorice, J Saab, FR Willett, ...
elife 6, e18554, 2017
Computation through neural population dynamics
S Vyas, MD Golub, D Sussillo, KV Shenoy
Annual review of neuroscience 43 (1), 249-275, 2020
A central source of movement variability
MM Churchland, A Afshar, KV Shenoy
Neuron 52 (6), 1085-1096, 2006
Temporal complexity and heterogeneity of single-neuron activity in premotor and motor cortex
MM Churchland, KV Shenoy
Journal of neurophysiology 97 (6), 4235-4257, 2007
Long-term stability of neural prosthetic control signals from silicon cortical arrays in rhesus macaque motor cortex
CA Chestek, V Gilja, P Nuyujukian, JD Foster, JM Fan, MT Kaufman, ...
Journal of neural engineering 8 (4), 045005, 2011
Virtual typing by people with tetraplegia using a self-calibrating intracortical brain-computer interface
B Jarosiewicz, AA Sarma, D Bacher, NY Masse, JD Simeral, B Sorice, ...
Science translational medicine 7 (313), 313ra179-313ra179, 2015
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