Chethan Pandarinath, PhD

2003-2011 Electrical Engineering Cornell University, Ithaca, NY, United States 
 2012-2016 Neurosurgery, Electrical Engineering Stanford University, Palo Alto, CA 
 2016- Biomedical Engineering Emory / Georgia Tech 
neural prosthetics, neural engineering, brain-machine interfaces, motor systems, visual system, retina, neural circuitry, adaptation
"Chethan Pandarinath"
Mean distance: 14.12 (cluster 6)


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Leigh R. Hochberg collaborator 2012- MGH
David Sussillo collaborator 2015- Stanford
Sabine Kastner collaborator 2017- Princeton
Lee E. Miller collaborator 2017- Northwestern
Karin Dedek collaborator 2005-2007 Cornell University, Weill Medical College
Jonathan D. Victor collaborator 2009-2010 Cornell University, Weill Medical College
Vikash Gilja collaborator 2012-2015 Stanford
John D. Simeral collaborator 2012-2017 Brown
Paul Nuyujukian collaborator 2013-2017 Stanford
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Nuyujukian P, Albites Sanabria J, Saab J, et al. (2018) Cortical control of a tablet computer by people with paralysis. Plos One. 13: e0204566
Stavisky SD, Kao JC, Nuyujukian P, et al. (2018) Brain-machine interface cursor position only weakly affects monkey and human motor cortical activity in the absence of arm movements. Scientific Reports. 8: 16357
Pandarinath C, Ames KC, Russo AA, et al. (2018) Latent Factors and Dynamics in Motor Cortex and Their Application to Brain-Machine Interfaces. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 38: 9390-9401
Pandarinath C, O'Shea DJ, Collins J, et al. (2018) Inferring single-trial neural population dynamics using sequential auto-encoders. Nature Methods
Milekovic T, Sarma AA, Bacher D, et al. (2018) Stable long-term BCI-enabled communication in ALS and locked-in syndrome using LFP signals. Journal of Neurophysiology
Brandman DM, Hosman T, Saab J, et al. (2018) Rapid calibration of an intracortical brain-computer interface for people with tetraplegia. Journal of Neural Engineering. 15: 026007
Even-Chen N, Stavisky SD, Pandarinath C, et al. (2017) Feasibility of Automatic Error Detect-and-undo system in Human Intracortical Brain-Computer Interfaces. Ieee Transactions On Bio-Medical Engineering
Willett FR, Murphy BA, Young DR, et al. (2017) A Comparison of Intention Estimation Methods for Decoder Calibration in Intracortical Brain-Computer Interfaces. Ieee Transactions On Bio-Medical Engineering
Pandarinath C, Nuyujukian P, Blabe CH, et al. (2017) High performance communication by people with paralysis using an intracortical brain-computer interface. Elife. 6
Willett FR, Murphy BA, Memberg WD, et al. (2017) Signal-independent noise in intracortical brain-computer interfaces causes movement time properties inconsistent with Fitts' law. Journal of Neural Engineering. 14: 026010
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