Stefan Haufe

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Klaus-Robert MüllerTU Berlin & Korea University & Google Brain & Max Planck Institute for Informatics, GermanyVerified email at tu-berlin.de
Benjamin BlankertzTechnische Universität Berlin, Neurotechnology groupVerified email at tu-berlin.de
Vadim V NikulinPrincipal Investigator, Max Planck Institute for Human Cognitive and Brain SciencesVerified email at cbs.mpg.de
Sven DähneAmazonVerified email at amazon.com
Guido NolteDept. of Neurophysiology and Pathophysiology, UKE, HamburgVerified email at uke.de
Michael TangermannDonders Insitute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands, andVerified email at donders.ru.nl
Irene Dowding (Winkler)GoogleVerified email at google.com
Claudia SannelliMedtronicVerified email at medtronic.com
Felix BiessmannEinstein Center Digital Future, Berlin University of Applied SciencesVerified email at bht-berlin.de
John-Dylan HaynesProfessor for Theory and Analysis of Large-Scale Brain Signals, Charite - Universitätsmedizin Berlin, GermanyVerified email at bccn-berlin.de
Kai GörgenBCCN BerlinVerified email at bccn-berlin.de
Lucas C. ParraProfessor of Biomedical Engineering, City College of New York, CUNYVerified email at ccny.cuny.edu
Arno VillringerDirector, Max Planck SocietyVerified email at cbs.mpg.de
Matthias TrederiSIZE Technologies & Cardiff UniversityVerified email at cardiff.ac.uk
Carmen VidaurreIkerbasque Research Associate, Tecnalia, NeurotechVerified email at tecnalia.com
Siamac FazliNazarbayev UniversityVerified email at nu.edu.kz
Cecilia Friedrichs-MaederAssistenzärztin, Inselspital BernVerified email at insel.ch
ILHWA KIMStradVision.incVerified email at stradvision.com
Ali HashemiTechnische Universität BerlinVerified email at math.tu-berlin.de
Srikantan NagarajanProfessor, Department of Radiology and Biomedical Imaging, UCSFVerified email at ucsf.edu

Stefan Haufe

Technische Universität Berlin, Physikalisch-Technische Bundesanstalt, Charité - Universitätsmedizin

Verified email at tu-berlin.de - Homepage

Machine Learning Signal Processing Neuroimaging Brain Connectivity AI in Biomedicine


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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	1215	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	1070	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	664	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, 198, 2010	415	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	331	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	245	2011
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	211	2016
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	207	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	196	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	159	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	145	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	138	2014
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	131	2014
A simulation framework for benchmarking EEG-based brain connectivity estimation methodologies S Haufe, A Ewald Brain topography 32, 625-642, 2019	127	2019
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	118	2010
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	116	2011
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	110	2009
Sparse causal discovery in multivariate time series S Haufe, KR Müller, G Nolte, N Krämer causality: objectives and assessment, 97-106, 2010	108	2010
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	101	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	96	2013

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