Stefan Haufe

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Klaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, GermanyVerificeret mail på tu-berlin.de
Benjamin BlankertzTechnische Universität Berlin, Neurotechnology groupVerificeret mail på tu-berlin.de
Vadim V NikulinPrincipal Investigator, Max Planck Institute for Human Cognitive and Brain SciencesVerificeret mail på cbs.mpg.de
Sven DähneAmazonVerificeret mail på amazon.com
Guido NolteDept. of Neurophysiology and Pathophysiology, UKE, HamburgVerificeret mail på uke.de
Michael TangermannDonders Insitute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands, andVerificeret mail på donders.ru.nl
John-Dylan HaynesProfessor for Theory and Analysis of Large-Scale Brain Signals, Charite - Universitätsmedizin Berlin, GermanyVerificeret mail på bccn-berlin.de
Irene Dowding (Winkler)GoogleVerificeret mail på google.com
Frank C. MeineckeDirector of Applied Machine Learning, TomTomVerificeret mail på tomtom.com
Claudia SannelliMedtronicVerificeret mail på medtronic.com
Arno VillringerDirector, Max Planck SocietyVerificeret mail på cbs.mpg.de
Felix BiessmannEinstein Center Digital Future, Berlin University of Applied SciencesVerificeret mail på bht-berlin.de
Kai GörgenBCCN BerlinVerificeret mail på bccn-berlin.de
Lucas C. ParraProfessor of Biomedical Engineering, City College of New York, CUNYVerificeret mail på ccny.cuny.edu
Matthias TrederSony PlayStation + Cardiff UniversityVerificeret mail på cardiff.ac.uk
Carmen VidaurreIkerbasque Research Associate Prof., BCBL & BIFOLD TU-BerlinVerificeret mail på bcbl.eu
Srikantan NagarajanProfessor, Department of Radiology and Biomedical Imaging, UCSFVerificeret mail på ucsf.edu
Chang Caiassociate professor, CCNUVerificeret mail på ccnu.edu.cn
Ali HashemiML Research Scientist at BIFOLD, PostDoc at Technische Universität BerlinVerificeret mail på tu-berlin.de
Siamac FazliNazarbayev UniversityVerificeret mail på nu.edu.kz

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Stefan Haufe

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

Verificeret mail på tu-berlin.de - Startside

Machine Learning Signal Processing Neuroimaging Brain Connectivity AI in Biomedicine


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
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	1327	2014
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	1323	2011
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	824	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	450	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	383	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	269	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	244	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	242	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	233	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	170	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	164	2014
A simulation framework for benchmarking EEG-based brain connectivity estimation methodologies S Haufe, A Ewald Brain topography 32, 625-642, 2019	147	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	146	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	143	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	128	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	123	2010
Sparse causal discovery in multivariate time series S Haufe, KR Müller, G Nolte, N Krämer causality: objectives and assessment, 97-106, 2010	123	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	119	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	106	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	101	2013

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