Kai Görgen - Publications

Affiliations: 
BCCN Berlin, Berlin, Berlin, Germany 
Area:
Computational Neuroscience; Systems Neuroscience

16 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2024 Weber S, Christophel T, Görgen K, Soch J, Haynes JD. Working memory signals in early visual cortex are present in weak and strong imagers. Human Brain Mapping. 45: e26590. PMID 38401134 DOI: 10.1002/hbm.26590  0.699
2023 Uithol S, Görgen K, Pischedda D, Toni I, Haynes JD. The effect of context and reason on the neural correlates of intentions. Heliyon. 9: e17231. PMID 37383217 DOI: 10.1016/j.heliyon.2023.e17231  0.727
2023 Zahedi A, Artigas SO, Swaboda N, Wiers CE, Görgen K, Park SQ. Neural correlates of changing food choices while bypassing values. Neuroimage. 274: 120134. PMID 37100103 DOI: 10.1016/j.neuroimage.2023.120134  0.454
2023 Soch J, Görgen K, Heinzle J, Haynes JD. A tightly controlled fMRI dataset for receptive field mapping in human visual cortex. Data in Brief. 47: 109018. PMID 36936634 DOI: 10.1016/j.dib.2023.109018  0.724
2017 Görgen K, Hebart MN, Allefeld C, Haynes JD. The same analysis approach: Practical protection against the pitfalls of novel neuroimaging analysis methods. Neuroimage. PMID 29288130 DOI: 10.1016/J.Neuroimage.2017.12.083  0.741
2017 Pischedda D, Görgen K, Haynes JD, Reverberi C. 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. PMID 29114072 DOI: 10.1523/Jneurosci.3088-16.2017  0.687
2016 Allefeld C, Görgen K, Haynes JD. Valid population inference for information-based imaging: From the second-level t-test to prevalence inference. Neuroimage. PMID 27450073 DOI: 10.1016/J.Neuroimage.2016.07.040  0.525
2015 Schultze-Kraft M, Birman D, Rusconi M, Allefeld C, Görgen K, Dähne S, Blankertz B, Haynes JD. The point of no return in vetoing self-initiated movements. Proceedings of the National Academy of Sciences of the United States of America. PMID 26668390 DOI: 10.1073/Pnas.1513569112  0.718
2014 Hebart MN, Görgen K, Haynes JD. The Decoding Toolbox (TDT): a versatile software package for multivariate analyses of functional imaging data. Frontiers in Neuroinformatics. 8: 88. PMID 25610393 DOI: 10.3389/Fninf.2014.00088  0.758
2014 Haufe S, Meinecke F, Görgen K, Dähne S, Haynes JD, Blankertz B, Bießmann F. On the interpretation of weight vectors of linear models in multivariate neuroimaging. Neuroimage. 87: 96-110. PMID 24239590 DOI: 10.1016/J.Neuroimage.2013.10.067  0.74
2014 Haufe S, Meinecke F, Blankertz B, Dähne S, Görgen K, Haynes J, Bießmann F. Interpreting parameters of multivariate linear models in neuroimaging F1000research. 5. DOI: 10.7490/F1000Research.1096021.1  0.648
2014 Haufe S, Meinecke F, Gorgen K, Dahne S, Haynes JD, Blankertz B, Biessmann F. Parameter interpretation, regularization and source localization in multivariate linear models Proceedings - 2014 International Workshop On Pattern Recognition in Neuroimaging, Prni 2014. DOI: 10.1109/PRNI.2014.6858522  0.723
2013 Pischedda D, Görgen K, Haynes J, Reverberi F. Neural representation of rules at different hierarchical levels Neuroscience. DOI: 10.13140/2.1.3589.4729  0.583
2012 Reverberi C, Görgen K, Haynes JD. 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. PMID 23197733 DOI: 10.1523/Jneurosci.2344-12.2012  0.75
2012 Reverberi C, Görgen K, Haynes JD. Compositionality of rule representations in human prefrontal cortex. Cerebral Cortex (New York, N.Y. : 1991). 22: 1237-46. PMID 21817092 DOI: 10.1093/Cercor/Bhr200  0.754
2012 Görgen K, Hebart MN, Haynes J. The Decoding Toolbox (TDT): a new fMRI analysis package for SPM and MATLAB F1000research. 3. DOI: 10.7490/F1000Research.1092032.1  0.741
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