Publications
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Filters: Author is Schölkopf, B and Keyword is Electroencephalography [Clear All Filters]
. Causal influence of gamma oscillations on the sensorimotor rhythm. Neuroimage [Internet]. 2011;56(2):837-42. http://www.ncbi.nlm.nih.gov/pubmed/20451626
Causal influence of gamma oscillations on the sensorimotor rhythm.pdf (949.65 KB)
Causal influence of gamma oscillations on the sensorimotor rhythm.pdf (949.65 KB). A graphical model framework for decoding in the visual ERP-based BCI speller. Neural Comput [Internet]. 2011;23(1):160-82. http://www.ncbi.nlm.nih.gov/pubmed/20964540 A graphical model framework for decoding in the visual ERP-based BCI speller.pdf (443.32 KB)
A graphical model framework for decoding in the visual ERP-based BCI speller.pdf (443.32 KB). Overlap and refractory effects in a brain-computer interface speller based on the visual P300 event-related potential. J Neural Eng [Internet]. 2009;6(2):026003. http://www.ncbi.nlm.nih.gov/pubmed/19255462 Overlap and refractory effects in a brain-computer interface speller based on the visual P300 event-related potential.pdf (469.83 KB)
Overlap and refractory effects in a brain-computer interface speller based on the visual P300 event-related potential.pdf (469.83 KB). Voluntary brain regulation and communication with electrocorticogram signals. Epilepsy Behav [Internet]. 2008;13(2):300-6. http://www.ncbi.nlm.nih.gov/pubmed/18495541 Voluntary brain regulation and communication with electrocorticogram signals.pdf (1.45 MB)
Voluntary brain regulation and communication with electrocorticogram signals.pdf (1.45 MB). Classifying EEG and ECoG signals without subject training for fast BCI implementation: comparison of nonparalyzed and completely paralyzed subjects. IEEE Trans Neural Syst Rehabil Eng [Internet]. 2006;14(2):183-6. http://www.ncbi.nlm.nih.gov/pubmed/16792289 Classifying EEG and ECoG signals without subject training for fast BCI implementation comparison of nonparalyzed and completely paralyzed subjects.pdf (56.97 KB)
Classifying EEG and ECoG signals without subject training for fast BCI implementation comparison of nonparalyzed and completely paralyzed subjects.pdf (56.97 KB). Robust EEG Channel Selection across Subjects for Brain-Computer Interfaces. . EURASIP Journal on Advances in Signal Processing [Internet]. 2005;2005:3103–3112. http://www.researchgate.net/publication/26532072_Robust_EEG_Channel_Selection_across_Subjects_for_Brain-Computer_Interfaces Robust EEG channel selection across subjects for brain-computer interfaces.pdf (1.81 MB)
Robust EEG channel selection across subjects for brain-computer interfaces.pdf (1.81 MB)