Dennis McFarland

New York State Department of Health, Oxford, NY, United States 
Brain-computer interface
"Dennis McFarland"
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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
Saa JF, Pesters Ad, McFarland D, et al. (2015) Word-level language modeling for P300 spellers based on discriminative graphical models. Journal of Neural Engineering. 12: 026007
Cacace AT, McFarland DJ. (2014) Modality Specificity trumps other methods for diagnosing the auditory processing disorder (APD): response to Dillon et al. Journal of the American Academy of Audiology. 25: 703-5
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
Lu J, Xie K, McFarland DJ. (2014) Adaptive spatio-temporal filtering for movement related potentials in EEG-based brain-computer interfaces. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. 22: 847-57
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