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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"

Mean distance: 14.12 (cluster 6)

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Parents

Sheila Nirenberg	grad student	2005-2012	Weill Cornell Medical College
Jaimie M. Henderson	post-doc	2012-2016	Stanford
Krishna V. Shenoy	post-doc	2012-2016	Stanford

Children

Andrew R. Sedler

grad student

2019-

Collaborators

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, Braun J, Keshtkaran MR, et al. (2022) Estimating muscle activation from EMG using deep learning-based dynamical systems models. Journal of Neural Engineering
Pandarinath C, Bensmaia SJ. (2021) The science and engineering behind sensitized brain-controlled bionic hands. Physiological Reviews
Flint RD, Tate MC, Li K, et al. (2020) The representation of finger movement and force in human motor and premotor cortices. Eneuro
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

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