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John-Dylan HaynesProfessor for Theory and Analysis of Large-Scale Brain Signals, Charite - Universitätsmedizin Berlin, Germany在 bccn-berlin.de 的电子邮件经过验证
Benjamin BlankertzTechnische Universität Berlin, Neurotechnology group在 tu-berlin.de 的电子邮件经过验证
Sven DähneAmazon在 amazon.com 的电子邮件经过验证
Carlo ReverberiUniversità Milano - Bicocca, and Milan Center for Neuroscience, Milano, Italy在 unimib.it 的电子邮件经过验证
Frank C. MeineckeDirector of Applied Machine Learning, TomTom在 tomtom.com 的电子邮件经过验证
Stefan HaufeTechnische Universität Berlin, Physikalisch-Technische Bundesanstalt, Charité - Universitätsmedizin在 tu-berlin.de 的电子邮件经过验证
Felix BiessmannEinstein Center Digital Future, Berlin University of Applied Sciences在 bht-berlin.de 的电子邮件经过验证
Carsten AllefeldDepartment of Psychology, City, University of London在 city.ac.uk 的电子邮件经过验证
Martin N. HebartJustus Liebig University, Giessen, Germany在 psychiat.med.uni-giessen.de 的电子邮件经过验证
Doris PischeddaAssistant Professor, University of Pavia在 unipv.it 的电子邮件经过验证
Daniel BirmanWashington Research Foundation Postdoctoral Fellow, University of Washington在 uw.edu 的电子邮件经过验证
Matthias Schultze-KraftPostDoc, Bernstein Center for Computational Neuroscience, Berlin在 bccn-berlin.de 的电子邮件经过验证
Sebo UitholAssistent Professor, Leiden University在 fsw.leidenuniv.nl 的电子邮件经过验证
Ivan ToniPrincipal Investigator, Donders Institute; Professor of Motor Cognition, Radboud University在 donders.ru.nl 的电子邮件经过验证
Klaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, Germany在 tu-berlin.de 的电子邮件经过验证
David WisniewskiGhent University在 ugent.be 的电子邮件经过验证
Ida MomennejadMicrosoft Research在 microsoft.com 的电子邮件经过验证
Pascal FriesScientific Member of the Max Planck Society在 esi-frankfurt.de 的电子邮件经过验证
Robert OostenveldAssociate PI; Donders Institute for Brain, Cognition and Behaviour在 donders.ru.nl 的电子邮件经过验证
Thilo WomelsdorfProf. | Vanderbilt University | Vanderbilt Brain Institute | Nashville在 vanderbilt.edu 的电子邮件经过验证

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Kai Görgen

BCCN Berlin

在 bccn-berlin.de 的电子邮件经过验证

neuroimaging machine learning statistics design of experiments decision making


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	1287	2014
The Decoding Toolbox (TDT): A versatile software package for multivariate analyses of functional imaging data MN Hebart, K Görgen, JD Haynes Frontiers in Neuroinformatics 8, 88, 2014	421	2014
The point of no return in vetoing self-initiated movements M Schultze-Kraft, D Birman, M Rusconi, C Allefeld, K Görgen, S Dähne, ... Proceedings of the National Academy of Sciences 113 (4), 1080-1085, 2016	291	2016
Valid population inference for information-based imaging: from the second-level t-test to prevalence inference C Allefeld, K Görgen, JD Haynes NeuroImage 141, 378-392, 2016	162	2016
Compositionality of rule representations in human prefrontal cortex C Reverberi, K Görgen, JD Haynes Cerebral cortex 22 (6), 1237-1246, 2012	154	2012
Distributed Representations of Rule Identity and Rule Order in Human Frontal Cortex and Striatum C Reverberi, K Görgen, JD Haynes The Journal of Neuroscience 32 (48), 17420-17430, 2012	66	2012
The same analysis approach: practical protection against the pitfalls of novel neuroimaging analysis methods K Görgen, MN Hebart, C Allefeld, JD Haynes Neuroimage 180, 19-30, 2018	37	2018
Neural Representations of Hierarchical Rule Sets: The Human Control System Represents Rules Irrespective of the Hierarchical Level to Which They Belong D Pischedda, K Görgen, JD Haynes, C Reverberi Journal of Neuroscience 37 (50), 12281-12296, 2017	27	2017
Neural representations of hierarchical rule sets: The human control system represents rules irrespective of their hierarchical level D Pischedda, K Görgen, J Haynes, C Reverberi International Conference Cognitive Neuroscience of Executive Functions (CNEF …, 2017	27*	2017
On the interpretability of linear multivariate neuroimaging analyses: Filters, patterns and their relationship F Bießmann, S Dähne, FC Meinecke, B Blankertz, K Görgen, KR Müller, ... 2nd NIPS Workshop on Machine Learning and Interpretation in NeuroImaging, 2012	14	2012
Structural differences in adolescent brains can predict alcohol misuse RP Rane, EF de Man, JH Kim, K Görgen, M Tschorn, MA Rapp, ... Elife 11, e77545, 2022	12	2022
The Decoding Toolbox (TDT): A new fMRI analysis package for SPM and Matlab K Görgen, MN Hebart, JD Haynes Poster presented at 18th Annual Meeting of the Organization for Human Brain …, 2012	11	2012
Combining Eyetracking and EEG K Görgen Publications of the Institute of Cognitive Science 15, 2010	8	2010
Working memory signals in early visual cortex do not depend on visual imagery S Weber, T Christophel, K Görgen, J Soch, JD Haynes bioRxiv, 2023.02. 13.528298, 2023	7*	2023
Parameter interpretation, regularization and source localization in multivariate linear models S Haufe, F Meinecke, K Görgen, S Dähne, JD Haynes, B Blankertz, ... Pattern Recognition in Neuroimaging, 2014 International Workshop on, 1-4, 2014	7	2014
FMRI decoding of intentions: Compositionality, hierarchy and prospective memory JD Haynes, D Wisniewski, K Görgen, I Momennejad, C Reverberi The 3rd International Winter Conference on Brain-Computer Interface, 1-3, 2015	5	2015
Neural correlates of changing food choices while bypassing values A Zahedi, SO Artigas, N Swaboda, CE Wiers, K Görgen, SQ Park NeuroImage 274, 120134, 2023	3	2023
Working memory signals in early visual cortex are present in weak and strong imagers S Weber, T Christophel, K Görgen, J Soch, JD Haynes Human Brain Mapping 45 (3), e26590, 2024	2	2024
The context-dependent nature of the neural implementation of intentions S Uithol, K Görgen, D Pischedda, I Toni, JD Haynes bioRxiv, 401174, 2018	2	2018
Detecting, Avoiding & Eliminating Confounds in MVPA / Decoding Studies K Görgen, MN Hebart, C Allefeld, JD , Haynes Human Brain Mapping Organization OHBM 2014, Abstract 874, Poster 3463 (Wth …, 2014	2	2014

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