Transfer learning in brain-computer interfaces V Jayaram, M Alamgir, Y Altun, B Scholkopf, M Grosse-Wentrup IEEE Computational Intelligence Magazine 11 (1), 20-31, 2016 | 442 | 2016 |
Multiclass common spatial patterns and information theoretic feature extraction M Grosse-Wentrup, M Buss Biomedical Engineering, IEEE Transactions on 55 (8), 1991-2000, 2008 | 429 | 2008 |
Quantifying causal influences D Janzing, D Balduzzi, M Grosse-Wentrup, B Schölkopf | 263 | 2013 |
Using brain–computer interfaces to induce neural plasticity and restore function M Grosse-Wentrup, D Mattia, K Oweiss Journal of Neural Engineering 8, 025004, 2011 | 258 | 2011 |
Closing the sensorimotor loop: haptic feedback facilitates decoding of motor imagery M Gomez-Rodriguez, J Peters, J Hill, B Schölkopf, A Gharabaghi, ... Journal of Neural Engineering 8, 036005, 2011 | 243 | 2011 |
Closing the sensorimotor loop: Haptic feedback facilitates decoding of arm movement imagery M Gomez-Rodriguez, J Peters, J Hill, B Schölkopf, A Gharabaghi, ... Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on …, 2010 | 243* | 2010 |
Critical issues in state-of-the-art brain–computer interface signal processing DJ Krusienski, M Grosse-Wentrup, F Galán, D Coyle, KJ Miller, E Forney, ... Journal of neural engineering 8 (2), 025002, 2011 | 212 | 2011 |
Crowdsourced analysis of clinical trial data to predict amyotrophic lateral sclerosis progression R Küffner, N Zach, R Norel, J Hawe, D Schoenfeld, L Wang, G Li, L Fang, ... Nature biotechnology 33 (1), 51-57, 2015 | 209 | 2015 |
Multi-task learning for Brain-Computer Interfaces M Alamgir, M Grosse-Wentrup, Y Altun | 207 | 2009 |
Beamforming in Noninvasive Brain–Computer Interfaces M Grosse-Wentrup, C Liefhold, K Gramann, M Buss Biomedical Engineering, IEEE Transactions on 56 (4), 1209-1219, 2009 | 195 | 2009 |
General pitfalls of model-agnostic interpretation methods for machine learning models C Molnar, G König, J Herbinger, T Freiesleben, S Dandl, CA Scholbeck, ... International Workshop on Extending Explainable AI Beyond Deep Models and …, 2020 | 158 | 2020 |
Causal influence of gamma oscillations on the sensorimotor rhythm M Grosse-Wentrup, B Schölkopf, J Hill NeuroImage 56 (2), 837-842, 2011 | 143 | 2011 |
Biased feedback in brain-computer interfaces Á Barbero, M Grosse-Wentrup Journal of neuroengineering and rehabilitation 7 (34), 1-4, 2010 | 133 | 2010 |
Multisubject learning for common spatial patterns in motor‐imagery BCI D Devlaminck, B Wyns, M Grosse-Wentrup, G Otte, P Santens Computational intelligence and neuroscience 2011 (1), 217987, 2011 | 126 | 2011 |
Causal interpretation rules for encoding and decoding models in neuroimaging S Weichwald, T Meyer, O Özdenizci, B Schölkopf, T Ball, ... Neuroimage 110, 48-59, 2015 | 118 | 2015 |
Causal consistency of structural equation models PK Rubenstein, S Weichwald, S Bongers, JM Mooij, D Janzing, ... arXiv preprint arXiv:1707.00819, 2017 | 110 | 2017 |
High gamma-power predicts performance in sensorimotor-rhythm brain-computer interfaces M Grosse-Wentrup, B Schölkopf Journal of Neural Engineering 55, 1991-2000, 2012 | 97 | 2012 |
Towards brain-robot interfaces in stroke rehabilitation M Gomez-Rodriguez, M Grosse-Wentrup, J Hill, A Gharabaghi, ... Rehabilitation Robotics (ICORR), 2011 IEEE International Conference on, 1-6, 2011 | 92 | 2011 |
Are intrinsic neural timescales related to sensory processing? Evidence from abnormal behavioral states F Zilio, J Gomez-Pilar, S Cao, J Zhang, D Zang, Z Qi, J Tan, T Hiromi, ... NeuroImage 226, 117579, 2021 | 80 | 2021 |
Relative feature importance G König, C Molnar, B Bischl, M Grosse-Wentrup 2020 25th International Conference on Pattern Recognition (ICPR), 9318-9325, 2021 | 60 | 2021 |