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Meeting Abstract (2)

21.
Meeting Abstract
Birbaumer, N.; Widmann, G.; Elger, C.; Schröder, M.; Hinterberger, T.; Lal, T.; Schölkopf, B.; Tatagiba, M.; Freudenstein, D.: Invasive and Non-Invasive Brain-Computer-Interfaces for Communication in Locked-in Syndrome. In Neuroforum, 2005 (Supplement), p. 239. 6th Meeting of the German Neuroscience Society, 30th Göttingen Neurobiology Conference, Göttingen, Germany, February 17, 2005 - February 20, 2005. (2005)

Poster (4)

22.
Poster
Hill, N.; Schröder, M.; Lal, T.; Schölkopf, B.: Comparative evaluation of Independent Components Analysis algorithms for isolating target-relevant information in brain-signal classification. Third International Meeting on Brain–Computer Interface Technology (BCI 2005): Making a Difference, Rensselaerville, NY, USA (2005)
23.
Poster
Hinterberger, T.; Wilhelm, b.; Veit, R.; Weiskopf , n.; Lal, T.; Birbaumer, N.: Neural mechanisms underlying control of a Brain-Computer-Interface (BCI): Simultaneous recording of bold-response and EEG. 44th Annual Meeting of the Society for Psychophysiological Research, Santa Fe, NM, USA (2004)
24.
Poster
Hill, N.; Lal, T.; Schröder, M.; Hinterberger , T.; Birbaumer, N.; Schölkopf, B.: Selective Attention to Auditory Stimuli: A Brain-Computer Interface Paradigm. 7th Tübingen Perception Conference (TWK 2004), Tübingen, Germany (2004)
25.
Poster
Schröder, M.; Lal, T.; Bogdan, M.; Schölkopf, B.: EEG Channel Selection for Brain Computer Interface Systems Based on Support Vector Methods. 7th Tübingen Perception Conference (TWK 2004), Tübingen, Germany (2004)

Report (2)

26.
Report
Lal, T.; Schröder, M.; Hinterberger, T.; Weston, J.; Bogdan , M.; Birbaumer, N.; Schölkopf, B.: Support Vector Channel Selection in BCI (Technical Report of the Max Planck Institute for Biological Cybernetics, 120). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 9 pp.
27.
Report
Zhou, D.; Bousquet, O.; Lal, T.; Weston, J.; Schölkopf, B.: Learning with Local and Global Consistency (Technical Report of the Max Planck Institute for Biological Cybernetics, 112). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 8 pp.

Other (1)

28.
Other
Lal, T.: Machine Learning Methods for Brain-Computer Interdaces, (2005)
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