Stefan Haufe
Stefan Haufe
Technische Universität Berlin, Physikalisch-Technische Bundesanstalt, Charité - Universitätsmedizin
Verified email at - Homepage
Cited by
Cited by
Single-trial analysis and classification of ERP components—a tutorial
B Blankertz, S Lemm, M Treder, S Haufe, KR Müller
NeuroImage 56 (2), 814-825, 2011
On the interpretation of weight vectors of linear models in multivariate neuroimaging
S Haufe, F Meinecke, K Görgen, S Dähne, JD Haynes, B Blankertz, ...
Neuroimage 87, 96-110, 2014
Automatic classification of artifactual ICA-components for artifact removal in EEG signals
I Winkler, S Haufe, M Tangermann
Behavioral and brain functions 7, 1-15, 2011
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
A critical assessment of connectivity measures for EEG data: a simulation study
S Haufe, VV Nikulin, KR Müller, G Nolte
Neuroimage 64, 120-133, 2013
EEG potentials predict upcoming emergency brakings during simulated driving
S Haufe, MS Treder, MF Gugler, M Sagebaum, G Curio, B Blankertz
Journal of neural engineering 8 (5), 056001, 2011
The New York Head—A precise standardized volume conductor model for EEG source localization and tES targeting
Y Huang, LC Parra, S Haufe
NeuroImage 140, 150-162, 2016
The Berlin brain-computer interface: progress beyond communication and control
B Blankertz, L Acqualagna, S Dähne, S Haufe, M Schultze-Kraft, I Sturm, ...
Frontiers in neuroscience 10, 530, 2016
Consistency of EEG source localization and connectivity estimates
K Mahjoory, VV Nikulin, L Botrel, K Linkenkaer-Hansen, MM Fato, ...
Neuroimage 152, 590-601, 2017
Combining sparsity and rotational invariance in EEG/MEG source reconstruction
S Haufe, VV Nikulin, A Ziehe, KR Müller, G Nolte
NeuroImage 42 (2), 726-738, 2008
Detection of braking intention in diverse situations during simulated driving based on EEG feature combination
IH Kim, JW Kim, S Haufe, SW Lee
Journal of neural engineering 12 (1), 016001, 2014
A simulation framework for benchmarking EEG-based brain connectivity estimation methodologies
S Haufe, A Ewald
Brain topography 32, 625-642, 2019
SPoC: a novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters
S Dähne, FC Meinecke, S Haufe, J Höhne, M Tangermann, KR Müller, ...
NeuroImage 86, 111-122, 2014
Electrophysiology-based detection of emergency braking intention in real-world driving
S Haufe, JW Kim, IH Kim, A Sonnleitner, M Schrauf, G Curio, B Blankertz
Journal of neural engineering 11 (5), 056011, 2014
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
Modeling sparse connectivity between underlying brain sources for EEG/MEG
S Haufe, R Tomioka, G Nolte, KR Müller, M Kawanabe
IEEE transactions on biomedical engineering 57 (8), 1954-1963, 2010
Sparse causal discovery in multivariate time series
S Haufe, KR Müller, G Nolte, N Krämer
causality: objectives and assessment, 97-106, 2010
Now you'll feel it, now you won't: EEG rhythms predict the effectiveness of perceptual masking
R Schubert, S Haufe, F Blankenburg, A Villringer, G Curio
Journal of cognitive neuroscience 21 (12), 2407-2419, 2009
Multivariate machine learning methods for fusing multimodal functional neuroimaging data
S Dähne, F Biessmann, W Samek, S Haufe, D Goltz, C Gundlach, ...
Proceedings of the IEEE 103 (9), 1507-1530, 2015
Optimizing event-related potential based brain–computer interfaces: a systematic evaluation of dynamic stopping methods
M Schreuder, J Höhne, B Blankertz, S Haufe, T Dickhaus, M Tangermann
Journal of neural engineering 10 (3), 036025, 2013
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