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 | 792 | 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 | 450 | 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 | 329 | 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 | 236 | 2011 |
Co-adaptive calibration to improve BCI efficiency C Vidaurre, C Sannelli, KR Müller, B Blankertz Journal of neural engineering 8 (2), 025009, 2011 | 209 | 2011 |
Predicting BCI performance to study BCI illiteracy T Dickhaus, C Sannelli, KR Müller, G Curio, B Blankertz BMC Neuroscience 10, 1-2, 2009 | 151 | 2009 |
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 | 128 | 2011 |
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 | 94 | 2019 |
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, 186-193, 2010 | 87 | 2010 |
Immediate brain plasticity after one hour of brain–computer interface (BCI) T Nierhaus, C Vidaurre, C Sannelli, KR Mueller, A Villringer The Journal of physiology 599 (9), 2435-2451, 2021 | 66 | 2021 |
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 | 58 | 2016 |
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 | 55 | 2012 |
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 | 44 | 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 | 41 | 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: Revolutionizing Human-Computer Interaction, 113-135, 2010 | 36 | 2010 |
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 | 34 | 2014 |
Estimating noise and dimensionality in BCI data sets: Towards illiteracy comprehension C Sannelli, M Braun, M Tangermann, KR Müller na 1, 1-6, 2008 | 34 | 2008 |
Improving BCI performance by task-related trial pruning C Sannelli, M Braun, KR Müller Neural Networks 22 (9), 1295-1304, 2009 | 28 | 2009 |
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 | 22 | 2015 |
Common Spatial Pattern Patches: online evaluation on BCI-naive users C Sannelli, C Vidaurre, KR Müller, B Blankertz 2012 annual international conference of the IEEE engineering in medicine and …, 2012 | 21 | 2012 |