John E. Downey, Ph.D

2010-2017 Rehabilitation and Neural Engineering University of Pittsburgh, Pittsburgh, PA, United States 
 2017- Organismal Biology & Anatomy University of Chicago, Chicago, IL 
"John Downey"
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Jennifer L. Collinger grad student 2011-2017
Sliman J. Bensmaia research scientist 2017-


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Caleb S. Sponheim collaborator 2018- Chicago
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Hughes C, Flesher SN, Weiss JM, et al. (2021) Neural stimulation and recording performance in human sensorimotor cortex over 1500 days. Journal of Neural Engineering
Flesher SN, Downey JE, Weiss JM, et al. (2021) A brain-computer interface that evokes tactile sensations improves robotic arm control. Science (New York, N.Y.). 372: 831-836
Downey JE, Quick KM, Schwed N, et al. (2020) The Motor Cortex Has Independent Representations for Ipsilateral and Contralateral Arm Movements But Correlated Representations for Grasping. Cerebral Cortex (New York, N.Y. : 1991)
Downey JE, Weiss JM, Flesher SN, et al. (2018) Implicit Grasp Force Representation in Human Motor Cortical Recordings. Frontiers in Neuroscience. 12: 801
Downey JE, Schwed N, Chase SM, et al. (2018) Intracortical recording stability in human brain-computer interface users. Journal of Neural Engineering
Downey JE, Brane L, Gaunt RA, et al. (2017) Motor cortical activity changes during neuroprosthetic-controlled object interaction. Scientific Reports. 7: 16947
Muelling K, Venkatraman A, Valois J, et al. (2017) Autonomy infused teleoperation with application to brain computer interface controlled manipulation Autonomous Robots. 41: 1401-1422
Flesher SN, Collinger JL, Foldes ST, et al. (2016) Intracortical microstimulation of human somatosensory cortex. Science Translational Medicine
Downey JE, Weiss JM, Muelling K, et al. (2016) Blending of brain-machine interface and vision-guided autonomous robotics improves neuroprosthetic arm performance during grasping. Journal of Neuroengineering and Rehabilitation. 13: 28
Tyler-Kabara EC, Downey J, Weiss J, et al. (2015) 201 Brain-Machine Interface Control of a Robotic Arm for Object Grasping is Improved With Computer-Vision Based Shared Control. Neurosurgery. 62: 233
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