Kai Görgen

Kai Görgen is currently Postdoc in the lab. He received a B.Sc. in Cognitive Science from the University of Osnabrück, a M.Sc. in Computational Neuroscience from the BCCN Berlin, and a Dr. rer. nat. jointly from Humboldt University Berlin and BCCN Berlin.

Publications

Görgen, K. (2019). On Rules and Methods: Neural Representations of Complex Rule Sets and Related Methodological Contributions. Dissertation, HU Berlin. http://dx.doi.org/10.18452/20711

Görgen, K., Hebart, M. N., Allefeld, C., & Haynes, J.-D. (2018). The Same Analysis Approach: Practical protection against the pitfalls of novel neuroimaging analysis methods. NeuroImage, 180, 19–30. https://doi.org/10.1016/j.neuroimage.2017.12.083

Uithol, S., Goergen, K., Pischedda, D., Toni, I., & Haynes, J.-D. (2018). The context-dependent nature of the neural implementation of intentions. bioRxiv, 401174. https://doi.org/10.1101/401174

Pischedda, D., Görgen, K., Haynes, J.-D., & Reverberi, C. (2017). Neural Representations of Hierarchical Rule Sets: The Human Control System Represents Rules Irrespective of the Hierarchical Level to Which They Belong. The Journal of Neuroscience, 37 (50), 12281–12296. https://doi.org/10.1523/jneurosci.3088-16.2017

Allefeld, C., Görgen, K., & Haynes, J.-D. (2016). Valid population inference for information-based imaging: From the second-level t-test to prevalence inference. NeuroImage, 141, 378–392. https://doi.org/10.1016/j.neuroimage.2016.07.040

Schultze-Kraft, M., Birman, D., Rusconi, M., Allefeld, C., Görgen, K., Dähne, S., Blankertz, B., & Haynes, J.-D. (2015). The point of no return in vetoing self-initiated movements. Proceedings of the National Academy of Sciences, first published December 14, 2015. doi:10.1073/pnas.1513569112

Hebart, M. N.*, Görgen, K.*, & Haynes, J.-D. (2015). The Decoding Toolbox (TDT): a versatile software package for multivariate analyses of functional imaging data. Frontiers in Neuroinformatics, 8, 88. doi:10.3389/fninf.2014.00088

Görgen, K., Hebart, M. N., Allefeld, C., & Haynes, J.-D. (2014). Detecting, Avoiding & Eliminating Confounds in MVPA / Decoding Studies. Annual Meeting of the Organization for Human Brain Mapping 2014, Hamburg, Germany, Abstract 874, Poster 3463.

Haufe, S., Meinecke, F., Görgen, K., Dähne, S., Haynes, J.-D., Blankertz, B., & Bießmann, F. (2014). On the interpretation of weight vectors of linear models in multivariate neuroimaging. NeuroImage, 87, 96–110. doi:10.1016/j.neuroimage.2013.10.067

Görgen K.*, Schultze-Kraft R.*, Wenzel M., Haynes J.-D., Blankertz B. (2013b). Cooperating Brains: Joint Control of a Dual-BCI. Conference Proceedings of BCI Meeting 2013, Asilomar, USA.

Görgen. K., Schultze-Kraft R., Haynes J.-D., Blankertz B. (2013a). Cooperating Brains: Dual-BCI as a New Paradigm to Investigate Brain-to-Brain Coordination. Conference Proceedings of the BCI Meeting 2013, Asilomar, USA.

Reverberi, C., Görgen, K., & Haynes, J.-D. (2012b). Distributed Representations of Rule Identity and Rule Order in Human Frontal Cortex and Striatum. The Journal of Neuroscience, 32(48), 17420–17430. doi:10.1523/jneurosci.2344-12.2012

Reverberi, C.*, Görgen, K.*, & Haynes, J.-D. (2012a). Compositionality of rule representations in human prefrontal cortex. Cerebral Cortex, 22 (6), 1237–1246. doi:10.1093/cercor/bhr200

* equal contribution