Chethan Pandarinath, PhD

Affiliations: 
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 
Area:
neural prosthetics, neural engineering, brain-machine interfaces, motor systems, visual system, retina, neural circuitry, adaptation
Website:
http://snel.gatech.edu
Google:
"Chethan Pandarinath"
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SNBCP

Collaborators

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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
BETA: Related publications

Publications

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Wimalasena LN, Miller LE, Pandarinath C. (2020) From unstable input to robust output. Nature Biomedical Engineering. 4: 665-667
Willett FR, Young DR, Murphy BA, et al. (2019) Principled BCI Decoder Design and Parameter Selection Using a Feedback Control Model. Scientific Reports. 9: 8881
Stavisky SD, Kao JC, Nuyujukian P, et al. (2019) Publisher Correction: Brain-machine interface cursor position only weakly affects monkey and human motor cortical activity in the absence of arm movements. Scientific Reports. 9: 5528
Milekovic T, Bacher D, Sarma AA, et al. (2019) Volitional control of single-electrode high gamma local field potentials (LFPs) by people with paralysis. Journal of Neurophysiology
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
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