Publications

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2011
Grosse-Wentrup M, Schölkopf B, Hill, N Jeremy. Causal influence of gamma oscillations on the sensorimotor rhythm. Neuroimage. 2011;56(2):837-42.
Pei X-M, Barbour DL, Leuthardt EC, Schalk G. Decoding vowels and consonants in spoken and imagined words using electrocorticographic signals in humans. J Neural Eng [Internet]. 2011;8(4):046028. http://www.ncbi.nlm.nih.gov/pubmed/21750369PDF icon Decoding vowels and consonants in spoken and imagined words using electrocorticographic signals in humans.pdf (1.59 MB)
Gaona CM, Sharma M, Freudenburg ZV, Breshears J, Bundy DT, Roland J, et al.. Nonuniform high-gamma (60-500 Hz) power changes dissociate cognitive task and anatomy in human cortex. J Neurosci [Internet]. 2011;31(6):2091-100. http://www.ncbi.nlm.nih.gov/pubmed/21307246PDF icon Nonuniform High-Gamma (60-500 Hz) Power Changes Dissociate Cognitive Task and Anatomy in Human Cortex.pdf (2.67 MB)
Pei X-M, Leuthardt EC, Gaona CM, Brunner P, Wolpaw JR, Schalk G. Spatiotemporal dynamics of electrocorticographic high gamma activity during overt and covert word repetition. Neuroimage [Internet]. 2011;54(4):2960-72. http://www.ncbi.nlm.nih.gov/pubmed/21029784PDF icon Spatiotemporal dynamics of electrocorticographic high gamma activity during overt and covert word repetition.pdf (4.1 MB)
Murguialday RA, Hill, N Jeremy, Bensch M, Martens SMM, Halder S, Nijboer F, Birbaumer N, et al.. Transition from the locked in to the completely locked-in state: a physiological analysis. Clin Neurophysiol. 2011;122(5):925-33.
Leuthardt EC, Gaona CM, Sharma M, Szrama N, Roland J, Freudenberg Z, et al.. Using the electrocorticographic speech network to control a brain-computer interface in humans. J Neural Eng [Internet]. 2011;8(3):036004. http://www.ncbi.nlm.nih.gov/pubmed/21471638PDF icon Using the Electrocorticographic Speech Network to Control a Brain-Computer Interface in Humans.pdf (2.59 MB)
2009
Schachter SC, Guttag J, Schiff SJ, Schomer DL. Advances in the application of technology to epilepsy: the CIMIT/NIO Epilepsy Innovation Summit. Epilepsy Behav [Internet]. 2009;16(1):3-46. http://www.ncbi.nlm.nih.gov/pubmed/19780225PDF icon Advances in the application of technology to epilepsy the CIMIT NIO Epilepsy Innovation Summit.pdf (7.49 MB)
Kubánek J, Miller JW, Ojemann JG, Wolpaw JR, Schalk G. Decoding flexion of individual fingers using electrocorticographic signals in humans. J Neural Eng [Internet]. 2009;6(6):066001. http://www.ncbi.nlm.nih.gov/pubmed/19794237PDF icon Decoding Flexion of Individual Fingers Using Electrocorticographic Signals in Humans.pdf (2.17 MB)
Zhang A-hua, Zheng SD, Pei X-M, Ouyang Y. Power spectrum analysis on the multiparameter electroencephalogram features of physiological mental fatigue. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2009;26(1):162-6, 172.
Brunner P, Ritaccio AL, Lynch TM, Emrich JF, Wilson AJ, Williams JC, et al.. A practical procedure for real-time functional mapping of eloquent cortex using electrocorticographic signals in humans. Epilepsy Behav [Internet]. 2009;15(3):278-86. http://www.ncbi.nlm.nih.gov/pubmed/19366638PDF icon A practical procedure for real-time functional mapping of eloquent cortex using electrocorticographic signals in humans.pdf (1.6 MB)
Friedrich EVC, McFarland DJ, Neuper C, Vaughan TM, Brunner P, Wolpaw JR. A scanning protocol for a sensorimotor rhythm-based brain-computer interface. Biol Psychol [Internet]. 2009;80(2):169-75. http://www.ncbi.nlm.nih.gov/pubmed/18786603PDF icon A scanning protocol for a sensorimotor rhythm-based brain-computer interface.pdf (641.91 KB)
2008
Schalk G, Brunner P, Gerhardt LA, Bischof H, Wolpaw JR. Brain-computer interfaces (BCIs): Detection Instead of Classification. J Neurosci Methods [Internet]. 2008;167(1):51-62. http://www.ncbi.nlm.nih.gov/pubmed/17920134PDF icon Brain-computer interfaces (BCIs) - Detection instead of classification.pdf (571.55 KB)
Cincotti F, Mattia D, Aloise F, Bufalari S, Schalk G, Oriolo G, et al.. Non-invasive brain-computer interface system: towards its application as assistive technology. Brain Res Bull [Internet]. 2008;75(6):796-803. http://www.ncbi.nlm.nih.gov/pubmed/18394526PDF icon Non-invasive brain-computer interface system - Towards its application as assistive technology.pdf (976.68 KB)
Schalk G, Leuthardt EC, Brunner P, Ojemann JG, Gerhardt LA, Wolpaw JR. Real-time detection of event-related brain activity. Neuroimage [Internet]. 2008;43(2):245-9. http://www.ncbi.nlm.nih.gov/pubmed/18718544PDF icon Real-time detection of event-related brain activity.pdf (717.46 KB)
Miller JW, Blakely T, Schalk G, den Nijs M, Rao RPN, Ojemann JG. Three cases of feature correlation in an electrocorticographic BCI. Conf Proc IEEE Eng Med Biol Soc. 2008. pp. 5318-21. PDF icon Three Cases of Feature Correlation in an Electrocorticographic BCI.pdf (923.35 KB)
Miller KJ, Blakely T, Schalk G, den Nijs M, Rao RPN, Ojemann JG. Three cases of feature correlation in an electrocorticographic BCI. In Engineering in Medicine and Biology Society, 2008. [Internet]. Vancouver, BC: IEEE; 2008. http://www.ncbi.nlm.nih.gov/pubmed/19163918PDF icon Three Cases of Feature Correlation in an Electrocorticographic BCI.pdf (923.35 KB)
Allison B, McFarland DJ, Schalk G, Zheng SD, Moore-Jackson M, Wolpaw JR. Towards an independent brain-computer interface using steady state visual evoked potentials. Clin Neurophysiol [Internet]. 2008;119(2):399-408. http://www.ncbi.nlm.nih.gov/pubmed/18077208PDF icon Towards an independent brain-computer interface using steady state visual evoked potentials.pdf (1.27 MB)
Schalk G, Miller KJ, Anderson NR, Wilson AJ, Smyth M, Ojemann JG, et al.. Two-dimensional movement control using electrocorticographic signals in humans. J Neural Eng [Internet]. 2008;5(1):75-84. http://www.ncbi.nlm.nih.gov/pubmed/18310813PDF icon Two-Dimensional Movement Control Using Electrocorticographic Signals in Humans.pdf (859.68 KB)

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