Kai Görgen
Affiliations: | BCCN Berlin, Berlin, Berlin, Germany |
Area:
Computational Neuroscience; Systems NeuroscienceGoogle:
"Kai Görgen"Mean distance: 12.79 (cluster 29) | S | N | B | C | P |
Cross-listing: Computational Biology Tree
Parents
Sign in to add mentor| Peter König | research assistant | 2004- | Universität Osnabrück |
| Benjamin Blankertz | grad student | BCCN Berlin | |
| Klaus-Robert Müller | grad student | BCCN Berlin | |
| Carlo F. Reverberi | grad student | BCCN Berlin | |
| John Dylan Haynes | grad student | 2007- | BCCN Berlin |
| Michael Brecht | grad student | 2007-2009 | BCCN Berlin |
| Pascal Fries | grad student | 2008-2009 | Donders Center Nijmegen |
| Felix A. Wichmann | grad student | 2007-2010 | BCCN Berlin |
| Laurenz Wiskott | grad student | 2007-2010 | BCCN Berlin |
Collaborators
Sign in to add collaborator| Martin N. Hebart | collaborator | BCCN Berlin | |
| Joram Soch | collaborator | Bernstein Center for Computational Neuroscience (BCCN) Berlin | |
| Doris Pischedda | collaborator | 2012-2016 | Charité Berlin |
BETA: Related publications
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Publications
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| Zahedi A, Artigas SO, Swaboda N, et al. (2023) Neural correlates of changing food choices while bypassing values. Neuroimage. 274: 120134 |
| Soch J, Görgen K, Heinzle J, et al. (2023) A tightly controlled fMRI dataset for receptive field mapping in human visual cortex. Data in Brief. 47: 109018 |
| 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, Blankertz B, et al. (2014) Interpreting parameters of multivariate linear models in neuroimaging F1000research. 5 |
| 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 |