Jonathan Wolpaw

New York State Department of Health, Oxford, NY, United States 
 Emory University, Atlanta, GA 
 Wadsworth Center 
 Nysdoh/health Research, Inc. 
Nervous system disease, spinal cord
"Jonathan Wolpaw"
Mean distance: 13.01 (cluster 29)
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Norman SL, Wolpaw JR, Reinkensmeyer DJ. (2022) Targeting neuroplasticity to improve motor recovery after stroke: an artificial neural network model. Brain Communications. 4: fcac264
Wolpaw JR, Millán JDR, Ramsey NF. (2020) Brain-computer interfaces: Definitions and principles. Handbook of Clinical Neurology. 168: 15-23
Shahriari Y, Vaughan TM, McCane L, et al. (2019) An exploration of BCI performance variations in people with amyotrophic lateral sclerosis using longitudinal EEG data. Journal of Neural Engineering
Thompson AK, Carruth H, Haywood R, et al. (2018) Effects of Sensorimotor Rhythm Modulation on the Human Flexor Carpi Radialis H-Reflex. Frontiers in Neuroscience. 12: 505
Norman SL, McFarland DJ, Miner A, et al. (2018) Controlling pre-movement sensorimotor rhythm can improve finger extension after stroke. Journal of Neural Engineering
McFarland DJ, Wolpaw JR. (2018) Brain-computer interface use is a skill that user and system acquire together. Plos Biology. 16: e2006719
Wolpaw JR, Bedlack RS, Reda DJ, et al. (2018) Independent home use of a brain-computer interface by people with amyotrophic lateral sclerosis. Neurology
Zoltan B, Zeitlin D, Gupta D, et al. (2018) Objective Extraction of EEG Features to Predict Recovery and Determine Awareness/Unawareness After Brain Injury Archives of Physical Medicine and Rehabilitation. 99: e143
Yuste R, Goering S, Arcas BAY, et al. (2017) Four ethical priorities for neurotechnologies and AI. Nature. 551: 159-163
McFarland DJ, Parvaz MA, Sarnacki WA, et al. (2016) Prediction of subjective ratings of emotional pictures by EEG features. Journal of Neural Engineering. 14: 016009
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