Kai Görgen

Affiliations: 
BCCN Berlin, Berlin, Berlin, Germany 
Area:
Computational Neuroscience; Systems Neuroscience
Google:
"Kai Görgen"
Mean distance: 12.79 (cluster 29)
 
SNBCP
Cross-listing: Computational Biology Tree

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Publications

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Görgen K, Hebart MN, Allefeld C, et al. (2017) The same analysis approach: Practical protection against the pitfalls of novel neuroimaging analysis methods. Neuroimage
Pischedda D, Görgen K, Haynes JD, et al. (2017) Neural Representations of Hierarchical Rule Sets: the Human Control System Represents Rules Irrespective of the Hierarchical Level They Belong to. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Allefeld C, Görgen K, Haynes JD. (2016) Valid population inference for information-based imaging: From the second-level t-test to prevalence inference. Neuroimage
Schultze-Kraft M, Birman D, Rusconi M, et al. (2015) The point of no return in vetoing self-initiated movements. Proceedings of the National Academy of Sciences of the United States of America
Hebart MN, Görgen K, Haynes JD. (2014) The Decoding Toolbox (TDT): a versatile software package for multivariate analyses of functional imaging data. Frontiers in Neuroinformatics. 8: 88
Haufe S, Meinecke F, Görgen K, et al. (2014) On the interpretation of weight vectors of linear models in multivariate neuroimaging. Neuroimage. 87: 96-110
Haufe S, Meinecke F, Gorgen K, et al. (2014) Parameter interpretation, regularization and source localization in multivariate linear models Proceedings - 2014 International Workshop On Pattern Recognition in Neuroimaging, Prni 2014
Reverberi C, Görgen K, Haynes JD. (2012) Distributed representations of rule identity and rule order in human frontal cortex and striatum. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 32: 17420-30
Reverberi C, Görgen K, Haynes JD. (2012) Compositionality of rule representations in human prefrontal cortex. Cerebral Cortex (New York, N.Y. : 1991). 22: 1237-46
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