Publications

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2018
Brunner P, Schalk G. BCI Software. In Brain–Computer Interfaces Handbook: Technological and Theoretical Advances. 2018. p. 323.
Wolpaw J. Brain-Computer Interfaces For Communication And Control. 2018.
Chen XY, Chen L, Yang X, Wang Y, Chen Y, Wolpaw J. Combining H-reflex conditioning and locomotor training appears to enhance locomotor recovery in rats with incomplete spinal cord injury: Initial results. Program No. 387.12. 2018 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience. Online. 2018.
Norman SL, McFarland DJ, Miner A, Cramer SC, Wolbrecht ET, Wolpaw J, et al.. Controlling pre-movement sensorimotor rhythm can improve finger extension after stroke. Journal of Neural Engineering [Internet]. 2018;15(5). http://stacks.iop.org/1741-2552/15/i=5/a=056026PDF icon Controlling pre-movement sensorimotor rhythm can improve finger extension after stroke.pdf (1.17 MB)
Vaughan TM, Aslam M, Zoltan B, Brunner P, Norton JJ, Carmack CS, et al.. Creating an eyes-closed binary SSVEP-based brain-computer interface (BCI) for the bedside: A comparison of foveal centered and off-centered stimulus presentation. 2018.
Vaughan TM, Aslam M, Zoltan B, Brunner P, Norton JJ, Carmack CS, et al.. Creating an eyes-closed binary SSVEP-based brain-computer interface (BCI) for the bedside: A comparison of foveal centered and off-centered stimulus presentation. Program No. 225.17. 2018 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience. Online. San Diego, CA; 2018.
Wolpaw J. Department of Kinesiology, Penn State University, State College, PA. 2018.
Gunduz A, Schalk G. ECoG-Based BCIs. In Brain–Computer Interfaces Handbook: Technological and Theoretical Advances. 2018. p. 297.
Thompson AK, Carruth H, Haywood R, Hill NJ, Sarnacki WA, McCane LM, et al.. Effects of Sensorimotor Rhythm Modulation on the Human Flexor Carpi Radialis H-Reflex. Frontiers in Neuroscience [Internet]. 2018;12. https://www.frontiersin.org/article/10.3389/fnins.2018.00505PDF icon Effects of Sensorimotor Rhythm Modulation on the Human Flexor Carpi Radialis H-Reflex.pdf (549.84 KB)
Ritaccio A, Brunner P, Schalk G. Electrical Stimulation Mapping of the Brain: Basic Principles and Emerging Alternatives. Journal of Clinical Neurophysiology [Internet]. 2018;35(2):86-97. https://journals.lww.com/clinicalneurophys/Abstract/2018/03000/Electrical_Stimulation_Mapping_of_the_Brain__.2.aspxPDF icon Electrical Stimulation Mapping of the Brain Basic Principles and Emerging Alternatives.pdf (730.23 KB)
Saez I, Lin J, Stolk A, Chang E, Parvizi J, Schalk G, et al.. Encoding of Multiple Reward-Related Computations in Transient and Sustained High-Frequency Activity in Human OFC. Current Biology [Internet]. 2018;28:2889 - 2899.e3. http://www.sciencedirect.com/science/article/pii/S0960982218309758PDF icon Saez 2018 Encoding of Multiple Reward-Related Computations in Transient and Sustained High-Frequency Activity in Human OFC (3.75 MB)
Norton JJS. H-reflex conditioning of the flexor carpi radialis: Updated data analysis methods and preliminary data. 2018.
Wolpaw J, Bedlack RS, Reda DJ, Ringer RJ, Banks PG, Vaughan TM, et al.. Independent home use of a brain-computer interface by people with amyotrophic lateral sclerosis. Neurology [Internet]. 2018;. http://n.neurology.org/content/neurology/early/2018/06/27/WNL.0000000000005812.full.pdfPDF icon Independent home use of a brain-computer interface by people with amyotrophic lateral sclerosis.pdf (711.33 KB)
Adamek M, Brunner P, Moheimanian L, Scherer R, Schalk G. Instantaneous voltage of electroencephalographic oscillatory activity: An alternative to power and phase measurements. Program No. 125.17. 2018 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience. Online. San Diego, CA; 2018.
Adamek M, Brunner P, Moheimanian L, Scherer R, Schalk G. Instantaneous voltage of electroencephalographic oscillatory activity: An alternative to power and phase measurements. Program No. 125.17. 2018 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience. Online. 2018.
Wolpaw J. McDowell Award Lecture. 2018.
Wolpaw J. National Center for Neuromodulation for Rehabilitation Workshop, Medical University of South Carolina, Charleston, SC. 2018.
Wolpaw J. Neuromodulation for Rehabilitation after Spinal Cord Injury. 2018.
Wolpaw J. NeuroRehabilitation CME Course, Harvard Medical School, Waltham, MA. 2018.
Wolpaw J. New York State Spinal Cord Injury Research Board Symposium, New York, NY. 2018.
Li G, Jiang S, Paraskevopoulou S, Wang M, Xu Y, Wu Z, et al.. Optimal referencing for stereo-electroencephalographic (SEEG) recordings. NeuroImage [Internet]. 2018;183:327-335. https://www.sciencedirect.com/science/article/pii/S1053811918307183PDF icon Optimal referencing for stereo-electroencephalographic (SEEG) recordings.pdf (18.78 MB)
Wolpaw J. Organizer and Speaker. 2018.
Swift JR, Coon WG, Guger C, Brunner P, Bunch M, Lynch T, et al.. Passive functional mapping of receptive language areas using electrocorticographic signals. Clinical Neurophysiology [Internet]. 2018;129:2517 - 2524. http://www.sciencedirect.com/science/article/pii/S1388245718312288PDF icon Swift 2018 Passive functional mapping of receptive language areas using electrocorticographic signals.pdf (2.08 MB)
Norton JJS, Mullins J, Alitz BE, Bretl T. The performance of 9–11-year-old children using an SSVEP-based BCI for target selection. Journal of Neural Engineering [Internet]. 2018;15:056012. http://stacks.iop.org/1741-2552/15/i=5/a=056012PDF icon Norton 2018 The performance of 9–11-year-old children using an SSVEP-based BCI for target selection (789.12 KB)
Schalk G. Perspectives on Brain–Computer Interfaces. In Brain–Computer Interfaces Handbook. CRC Press; 2018. pp. 721–724.

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