Dennis McFarland

Affiliations: 
New York State Department of Health, Oxford, NY, United States 
Area:
Brain-computer interface
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"Dennis McFarland"
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Publications

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McFarland DJ. (2020) Brain-Computer Interfaces for Amyotrophic Lateral Sclerosis. Muscle & Nerve
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
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
McFarland DJ, Sarnacki WA, Wolpaw JR. (2015) Effects of training pre-movement sensorimotor rhythms on behavioral performance. Journal of Neural Engineering. 12: 066021
McCane LM, Heckman SM, McFarland DJ, et al. (2015) P300-based brain-computer interface (BCI) event-related potentials (ERPs): People with amyotrophic lateral sclerosis (ALS) vs. age-matched controls. Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology
McFarland DJ. (2014) The advantages of the surface Laplacian in brain-computer interface research. International Journal of Psychophysiology : Official Journal of the International Organization of Psychophysiology
McCane LM, Sellers EW, McFarland DJ, et al. (2014) Brain-computer interface (BCI) evaluation in people with amyotrophic lateral sclerosis. Amyotrophic Lateral Sclerosis & Frontotemporal Degeneration. 15: 207-15
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