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Kai Görgen

Kai Görgen
is currently PhD student in the lab. He received a B.Sc. in Cognitive Science from the University of Osnabrück, and a M.Sc. in Computational Neuroscience from the BCCN Berlin.


Allefeld, C., Görgen, K., & Haynes, J.-D. (2015). Valid population inference for information-based imaging: Information prevalence inference. arXiv:1512.00810 [q-Bio, Stat]. Retrieved from

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, 201513569. 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. In Proceedings of the Human Brain Mapping Organization OHBM 2014, Abstract 874, Poster 3463 (Wth). Hamburg, Germany.

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

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

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

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

* equal contribution