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)
 
SNBCP

Collaborators

Sign in to add collaborator
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

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

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
See more...