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Guido Dornhege

Showing results (1-10 of 8) with videos related to

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IEEE Transactions on Bio-Medical Engineering|June 11, 2004
Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigmsGuido Dornhege, Benjamin Blankertz, Gabriel Curio, et al.
Neuroimage|May 4, 2007
The non-invasive Berlin Brain-Computer Interface: fast acquisition of effective performance in untrained subjectsBenjamin Blankertz, Guido Dornhege, Matthias Krauledat, et al.
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|December 6, 2007
Algorithms for on-line differentiation of neuroelectric activitiesKlaus-Robert Mueller, Benjamin Blankertz, Guido Dornhege, et al.
Journal of Neuroscience Methods|November 23, 2007
Machine learning for real-time single-trial EEG-analysis: from brain-computer interfacing to mental state monitoringKlaus-Robert Müller, Michael Tangermann, Guido Dornhege, et al.
IEEE Transactions on Bio-Medical Engineering|November 1, 2006
Combined optimization of spatial and temporal filters for improving brain-computer interfacingGuido Dornhege, Benjamin Blankertz, Matthias Krauledat, et al.
IEEE Transactions on Bio-Medical Engineering|October 8, 2008
The Berlin Brain--Computer Interface: accurate performance from first-session in BCI-naïve subjectsBenjamin Blankertz, Florian Losch, Matthias Krauledat, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|June 24, 2006
The Berlin Brain-Computer Interface: EEG-based communication without subject trainingBenjamin Blankertz, Guido Dornhege, Matthias Krauledat, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|August 6, 2003
Boosting bit rates and error detection for the classification of fast-paced motor commands based on single-trial EEG analysisBenjamin Blankertz, Guido Dornhege, Christin Schäfer, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Bio-Medical Engineering|June 11, 2004
Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigmsGuido Dornhege, Benjamin Blankertz, Gabriel Curio, et al.
Neuroimage|May 4, 2007
The non-invasive Berlin Brain-Computer Interface: fast acquisition of effective performance in untrained subjectsBenjamin Blankertz, Guido Dornhege, Matthias Krauledat, et al.
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|December 6, 2007
Algorithms for on-line differentiation of neuroelectric activitiesKlaus-Robert Mueller, Benjamin Blankertz, Guido Dornhege, et al.
Journal of Neuroscience Methods|November 23, 2007
Machine learning for real-time single-trial EEG-analysis: from brain-computer interfacing to mental state monitoringKlaus-Robert Müller, Michael Tangermann, Guido Dornhege, et al.
IEEE Transactions on Bio-Medical Engineering|November 1, 2006
Combined optimization of spatial and temporal filters for improving brain-computer interfacingGuido Dornhege, Benjamin Blankertz, Matthias Krauledat, et al.
IEEE Transactions on Bio-Medical Engineering|October 8, 2008
The Berlin Brain--Computer Interface: accurate performance from first-session in BCI-naïve subjectsBenjamin Blankertz, Florian Losch, Matthias Krauledat, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|June 24, 2006
The Berlin Brain-Computer Interface: EEG-based communication without subject trainingBenjamin Blankertz, Guido Dornhege, Matthias Krauledat, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|August 6, 2003
Boosting bit rates and error detection for the classification of fast-paced motor commands based on single-trial EEG analysisBenjamin Blankertz, Guido Dornhege, Christin Schäfer, et al.
Pageof 1