Publications
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Filters: Author is Schölkopf, B and Keyword is User-Computer Interface [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). Closing the sensorimotor loop: haptic feedback facilitates decoding of motor imagery. J Neural Eng [Internet]. 2011;8(3):036005. http://www.ncbi.nlm.nih.gov/pubmed/21474878 Closing the sensorimotor loop haptic feedback facilitates decoding of motor imagery.pdf (1.81 MB)
Closing the sensorimotor loop haptic feedback facilitates decoding of motor imagery.pdf (1.81 MB). 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)