Moritz Grosse-Wentrup
Cited by
Cited by
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
Multiclass common spatial patterns and information theoretic feature extraction
M Grosse-Wentrup, M Buss
Biomedical Engineering, IEEE Transactions on 55 (8), 1991-2000, 2008
Quantifying causal influences
D Janzing, D Balduzzi, M Grosse-Wentrup, B Schölkopf
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
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
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
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
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
Multi-task learning for Brain-Computer Interfaces
M Alamgir, M Grosse-Wentrup, Y Altun
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
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
Causal influence of gamma oscillations on the sensorimotor rhythm
M Grosse-Wentrup, B Schölkopf, J Hill
NeuroImage 56 (2), 837-842, 2011
Biased feedback in brain-computer interfaces
Á Barbero, M Grosse-Wentrup
Journal of neuroengineering and rehabilitation 7 (34), 1-4, 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
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
Causal consistency of structural equation models
PK Rubenstein, S Weichwald, S Bongers, JM Mooij, D Janzing, ...
arXiv preprint arXiv:1707.00819, 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
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
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
Relative feature importance
G König, C Molnar, B Bischl, M Grosse-Wentrup
2020 25th International Conference on Pattern Recognition (ICPR), 9318-9325, 2021
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