Marius Klug
Marius Klug
PI Young Investigator Group, BTU Cottbus-Senftenberg
Verified email at
Cited by
Cited by
Identifying key factors for improving ICA‐based decomposition of EEG data in mobile and stationary experiments
M Klug, K Gramann
European Journal of Neuroscience 54 (12), 8406-8420, 2021
Human cortical dynamics during full-body heading changes
K Gramann, FU Hohlefeld, L Gehrke, M Klug
Scientific reports 11 (1), 1-12, 2021
MoBI—Mobile brain/body imaging
E Jungnickel, L Gehrke, M Klug, K Gramann
Neuroergonomics, 59-63, 2019
Mobile brain/body imaging of landmark‐based navigation with high‐density EEG
A Delaux, JB de Saint Aubert, S Ramanoël, M Bécu, L Gehrke, M Klug, ...
European Journal of Neuroscience 54 (12), 8256-8282, 2021
Zapline‐plus: A Zapline extension for automatic and adaptive removal of frequency‐specific noise artifacts in M/EEG
M Klug, NA Kloosterman
Human Brain Mapping 43 (9), 2743-2758, 2022
The BeMoBIL Pipeline for automated analyses of multimodal mobile brain and body imaging data
M Klug, S Jeung, A Wunderlich, L Gehrke, J Protzak, Z Djebbara, ...
bioRxiv, 2022.09. 29.510051, 2022
Neural sources of prediction errors detect unrealistic VR interactions
L Gehrke, P Lopes, M Klug, S Akman, K Gramann
Journal of Neural Engineering 19 (3), 036002, 2022
A Bayesian framework for unifying data cleaning, source separation and imaging of electroencephalographic signals
A Ojeda, M Klug, K Kreutz-Delgado, K Gramann, J Mishra
bioRxiv, 559450, 2019
Emotion-based human-robot-interaction
M Klug, A Zell
2013 IEEE 9th International Conference on Computational Cybernetics (ICCC …, 2013
The BeMoBIL Pipeline—Facilitating Mobile Brain/Body Imaging (MoBI) Data Analysis in MATLAB
M Klug, L Gehrke, FU Hohlefeld, K Gramann
Proceedings of the 3rd International Mobile Brain/Body Imaging Conference …, 2018
HArtMuT—modeling eye and muscle contributors in neuroelectric imaging
N Harmening, M Klug, K Gramann, D Miklody
Journal of Neural Engineering 19 (6), 066041, 2022
No need for extensive artifact rejection for ICA-A multi-study evaluation on stationary and mobile EEG datasets
M Klug, T Berg, K Gramann
bioRxiv, 2022.09. 13.507772, 2022
The Relationship Between Resting Frontal EEG Asymmetry and Mental Well-Being
M Klug
Eberhard Karls Universitat Tubingen, 2016
Advancing passive BCIs: a feasibility study of two temporal derivative features and effect size-based feature selection in continuous online EEG-based machine error detection
Y Pan, TO Zander, M Klug
Frontiers in Neuroergonomics 5, 1346791, 2024
Methodological considerations and advancements of mobile brain/body imaging data analysis
MS Klug
Real Virtual Magic–Modifying a VR game with a BCI to enhance immersion
M Klug
Neuroadaptive Technolgies 2022 Conference Proceedings, 27-28, 2022
The system can't perform the operation now. Try again later.
Articles 1–16