Kai Görgen

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John-Dylan HaynesProfessor for Theory and Analysis of Large-Scale Brain Signals, Charite - Universitätsmedizin Berlin, GermanyVerified email at bccn-berlin.de
Benjamin BlankertzTechnische Universität Berlin, Neurotechnology groupVerified email at tu-berlin.de
Sven DähneAmazonVerified email at amazon.com
Stefan HaufeTechnische Universität Berlin, Physikalisch-Technische Bundesanstalt, Charité - UniversitätsmedizinVerified email at tu-berlin.de
Carlo ReverberiUniversità Milano - Bicocca, and Milan Center for Neuroscience, Milano, ItalyVerified email at unimib.it
Felix BiessmannEinstein Center Digital Future, Berlin University of Applied SciencesVerified email at bht-berlin.de
Carsten AllefeldDepartment of Psychology, City, University of LondonVerified email at city.ac.uk
Martin N. HebartMax-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, GermanyVerified email at cbs.mpg.de
Daniel BirmanWashington Research Foundation Postdoctoral Fellow, University of WashingtonVerified email at uw.edu
Matthias Schultze-KraftPostDoc, Bernstein Center for Computational Neuroscience, BerlinVerified email at bccn-berlin.de
Doris PischeddaPostdoctoral Research Fellow, Charité - Universitätsmedizin BerlinVerified email at charite.de
Klaus-Robert MüllerTU Berlin & Korea University & Google Brain & MPIIVerified email at tu-berlin.de
David WisniewskiGhent UniversityVerified email at ugent.be
Ida MomennejadMicrosoft ResearchVerified email at microsoft.com
Sebo UitholAssistent Professor, Leiden UniversityVerified email at fsw.leidenuniv.nl
Ivan ToniPrincipal Investigator, Donders Institute; Professor of Motor Cognition, Radboud UniversityVerified email at donders.ru.nl
Frank C. Meinecke
Pascal FriesDirector, Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck SocietyVerified email at esi-frankfurt.de
Robert OostenveldAssociate PI; Donders Institute for Brain, Cognition and BehaviourVerified email at donders.ru.nl
Thilo WomelsdorfVanderbilt University, NashvilleVerified email at vanderbilt.edu

Kai Görgen

BCCN Berlin

Verified email at bccn-berlin.de

neuroimaging machine learning statistics design of experiments decision making


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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	949	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	297	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	224	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	138	2016
Compositionality of rule representations in human prefrontal cortex C Reverberi, K Görgen, JD Haynes Cerebral cortex 22 (6), 1237-1246, 2012	126	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	60	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	27	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	15	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	15*	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
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	9	2010
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	6	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	3	2015
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
Multiple imputation using ICE: A simulation study on a binary response J Hardt, K Görgen German Stata Users' Group Meetings 2008, 2008	2	2008
Concept combination with logical connectives G Baggio, P Cherubini, D Pischedda, K Gorgen, A Blumenthal, ... San Francisco, CA: Presented at the Cognitive Neuroscience Society, 2015	1	2015
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		2022
Neural correlates of changing food choices while bypassing values A Zahedi, SO Artigas, N Swaboda, CE Wiers, K Goergen, SQ Park bioRxiv, 2022		2022

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