Kai Görgen
Title
Cited by
Cited by
Year
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
6712014
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
2002014
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
1652016
Compositionality of rule representations in human prefrontal cortex
C Reverberi, K Görgen, JD Haynes
Cerebral cortex 22 (6), 1237-1246, 2012
1082012
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
862016
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
512012
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
192018
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
122012
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
102012
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
92017
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
9*2017
Combining Eyetracking and EEG
K Görgen
Publications of the Institute of Cognitive Science 15, 2010
72010
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
52014
Multiple imputation using ICE: A simulation study on a binary response
J Hardt, K Görgen
German Stata Users' Group Meetings 2008, 2008
22008
The context-dependent nature of the neural implementation of intentions
S Uithol, K Görgen, D Pischedda, I Toni, JD Haynes
bioRxiv, 401174, 2018
12018
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
12015
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
12015
On Rules and Methods: Neural Representations of Complex Rule Sets and Related Methodological Contributions
K Görgen
Humboldt-Universität zu Berlin, 2019
2019
What is done and who does it? Neural representations of one’s own subtask, a partner’s subtask, and of subtask ownership
D Pischedda, S Seyed-Allaei, K Görgen, J Haynes, C Reverberi
International Convention of Psychological Science (ICPS) 2017, 2017
2017
Who does what? Neural representation of one’s own subtask, a partner’s subtask, and of subtask assignment.
D Pischedda, S Seyed-Allaei, K Görgen, J Haynes, C Reverberi
International Conference Cognitive Neuroscience of Executive Functions (CNEF …, 2017
2017
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Articles 1–20