Neurophysiological predictor of SMR-based BCI performance B Blankertz, C Sannelli, S Halder, EM Hammer, A Kübler, KR Müller, ... Neuroimage 51 (4), 1303-1309, 2010 | 565 | 2010 |
The Berlin brain–computer interface: non-medical uses of BCI technology B Blankertz, M Tangermann, C Vidaurre, S Fazli, C Sannelli, S Haufe, ... Frontiers in neuroscience 4, 198, 2010 | 335 | 2010 |
Psychological predictors of SMR-BCI performance EM Hammer, S Halder, B Blankertz, C Sannelli, T Dickhaus, S Kleih, ... Biological psychology 89 (1), 80-86, 2012 | 229 | 2012 |
Machine-learning-based coadaptive calibration for brain-computer interfaces C Vidaurre, C Sannelli, KR Müller, B Blankertz Neural computation 23 (3), 791-816, 2011 | 193 | 2011 |
Co-adaptive calibration to improve BCI efficiency C Vidaurre, C Sannelli, KR Müller, B Blankertz Journal of neural engineering 8 (2), 025009, 2011 | 165 | 2011 |
Large-scale EEG/MEG source localization with spatial flexibility S Haufe, R Tomioka, T Dickhaus, C Sannelli, B Blankertz, G Nolte, ... NeuroImage 54 (2), 851-859, 2011 | 97 | 2011 |
On optimal channel configurations for SMR-based brain–computer interfaces C Sannelli, T Dickhaus, S Halder, EM Hammer, KR Müller, B Blankertz Brain topography 23 (2), 186-193, 2010 | 76 | 2010 |
Pre-stimulus sensorimotor rhythms influence brain–computer interface classification performance CL Maeder, C Sannelli, S Haufe, B Blankertz IEEE Transactions on neural systems and rehabilitation engineering 20 (5 …, 2012 | 38 | 2012 |
Ensembles of adaptive spatial filters increase BCI performance: an online evaluation C Sannelli, C Vidaurre, KR Müller, B Blankertz Journal of neural engineering 13 (4), 046003, 2016 | 37 | 2016 |
CSP patches: an ensemble of optimized spatial filters. An evaluation study C Sannelli, C Vidaurre, KR Müller, B Blankertz Journal of Neural Engineering 8 (2), 025012, 2011 | 29 | 2011 |
Common spatial pattern patches-an optimized filter ensemble for adaptive brain-computer interfaces C Sannelli, C Vidaurre, KR Müller, B Blankertz 2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010 | 27 | 2010 |
Detecting mental states by machine learning techniques: the Berlin brain–computer interface B Blankertz, M Tangermann, C Vidaurre, T Dickhaus, C Sannelli, ... Brain-computer interfaces, 113-135, 2009 | 27 | 2009 |
Estimating noise and dimensionality in BCI data sets: towards illiteracy comprehension C Sannelli, M Braun, M Tangermann, KR Müller na 1, 1-6, 2008 | 27 | 2008 |
The Berlin brain-computer interface B Blankertz, M Tangermann, F Popescu, M Krauledat, S Fazli, M Dónaczy, ... IEEE World Congress on Computational Intelligence, 79-101, 2008 | 26 | 2008 |
A large scale screening study with a SMR-based BCI: Categorization of BCI users and differences in their SMR activity C Sannelli, C Vidaurre, KR Müller, B Blankertz PLoS One 14 (1), e0207351, 2019 | 21 | 2019 |
Improving BCI performance by task-related trial pruning C Sannelli, M Braun, KR Müller Neural Networks 22 (9), 1295-1304, 2009 | 21 | 2009 |
Learning and evaluation in presence of non-iid label noise N Görnitz, A Porbadnigk, A Binder, C Sannelli, M Braun, KR Müller, ... Artificial Intelligence and Statistics, 293-302, 2014 | 20 | 2014 |
The Berlin brain–computer interface: non-medical uses of BCI technology Front B Blankertz, M Tangermann, C Vidaurre, S Fazli, C Sannelli, S Haufe, ... Neuroscience 4, 198, 2010 | 18 | 2010 |
Extracting latent brain states—Towards true labels in cognitive neuroscience experiments AK Porbadnigk, N Görnitz, C Sannelli, A Binder, M Braun, M Kloft, ... NeuroImage 120, 225-253, 2015 | 16 | 2015 |
Machine-learning based co-adaptive calibration: a perspective to fight BCI illiteracy C Vidaurre, C Sannelli, KR Müller, B Blankertz International Conference on Hybrid Artificial Intelligence Systems, 413-420, 2010 | 13 | 2010 |