Kai Görgen

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John-Dylan HaynesProfessor for Theory and Analysis of Large-Scale Brain Signals, Charite - Universitätsmedizin Berlin, GermanyAdresse e-mail validée de bccn-berlin.de
Benjamin BlankertzTechnische Universität Berlin, Neurotechnology groupAdresse e-mail validée de tu-berlin.de
Sven DähneAmazonAdresse e-mail validée de amazon.com
Carlo ReverberiUniversità Milano - Bicocca, and Milan Center for Neuroscience, Milano, ItalyAdresse e-mail validée de unimib.it
Frank C. MeineckeDirector of Applied Machine Learning, TomTomAdresse e-mail validée de tomtom.com
Stefan HaufeTechnische Universität Berlin, Physikalisch-Technische Bundesanstalt, Charité - UniversitätsmedizinAdresse e-mail validée de tu-berlin.de
Felix BiessmannEinstein Center Digital Future, Berlin University of Applied SciencesAdresse e-mail validée de bht-berlin.de
Carsten AllefeldDepartment of Psychology, City, University of LondonAdresse e-mail validée de city.ac.uk
Martin N. HebartJustus Liebig University, Giessen, GermanyAdresse e-mail validée de psychiat.med.uni-giessen.de
Doris PischeddaAssistant Professor, University of PaviaAdresse e-mail validée de unipv.it
Daniel BirmanAllen Institute for Neural DynamicsAdresse e-mail validée de alleninstitute.org
Matthias Schultze-KraftPostDoc, Bernstein Center for Computational Neuroscience, BerlinAdresse e-mail validée de bccn-berlin.de
Joram SochPostdoctoral Researcher, OvGU MagdeburgAdresse e-mail validée de bccn-berlin.de
Thomas B. ChristophelHumboldt Universität zu BerlinAdresse e-mail validée de bccn-berlin.de
Sebo UitholAssistent Professor, Leiden UniversityAdresse e-mail validée de fsw.leidenuniv.nl
Ivan ToniPrincipal Investigator, Donders Institute; Professor of Motor Cognition, Radboud UniversityAdresse e-mail validée de donders.ru.nl
Klaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, GermanyAdresse e-mail validée de tu-berlin.de
David WisniewskiGhent UniversityAdresse e-mail validée de ugent.be
Ida MomennejadMicrosoft ResearchAdresse e-mail validée de microsoft.com
Anoushiravan ZahediUniversity of Münster (Westfälische Wilhelms-Universität Münster); Humboldt University of BerlinAdresse e-mail validée de wwu.de

Suivre

Kai Görgen

BCCN Berlin, Science of Intelligence, Charite University Hospital Berlin

Adresse e-mail validée de bccn-berlin.de

neuroimaging machine learning statistics design of experiments decision making


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	1401	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	452	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	314	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	174	2016
Compositionality of rule representations in human prefrontal cortex C Reverberi, K Görgen, JD Haynes Cerebral cortex 22 (6), 1237-1246, 2012	171	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	67	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	39	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	32	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	32*	2017
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	20	2022
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	16	2024
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	8	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	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	6	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	5	2023
Vascular architecture mapping reveals sex-specific changes in cerebral microvasculature with aging A Hohmann, K Zhang, JME Jende, CM Mooshage, K Görgen, LT Rotkopf, ... Imaging Neuroscience 2, 1-15, 2024	4	2024
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	3	2023
The effect of context and reason on the neural correlates of intentions S Uithol, K Görgen, D Pischedda, I Toni, JD Haynes Heliyon 9 (6), 2023	2	2023

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