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Kai Görgen
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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
12832014
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
4202014
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
2912016
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
1622016
Compositionality of rule representations in human prefrontal cortex
C Reverberi, K Görgen, JD Haynes
Cerebral cortex 22 (6), 1237-1246, 2012
1542012
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
662012
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
372018
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
272017
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
142012
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
122022
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
112012
Combining Eyetracking and EEG
K Görgen
Publications of the Institute of Cognitive Science 15, 2010
82010
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
72014
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
52015
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
32023
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
22024
The context-dependent nature of the neural implementation of intentions
S Uithol, K Görgen, D Pischedda, I Toni, JD Haynes
bioRxiv, 401174, 2018
22018
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
22014
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Articles 1–20