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All Publications by GRK Members

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Görgen, K., Reverberi, C., and Haynes, J.-D. (2010). Decoding Neural Representations of Conditional Rules from fMRI Data. Poster Presentation, Conference IK 2010, Günne, Germany


Görgen, K., Reverberi, C., and Haynes, J.-D. (2011). Where- vs. What-Rules & Which Rule When: Two double-dissociations of neural representations of hierarchical rules. Poster presentation at the OCCAM2011 conference, Osnabrück, Germany


Görgen, K., Reverberi, C., and Haynes, J.-D. (2011). Decoding neural representations of rules and rule order. Poster Abstract, ABIM (Alpine Brain Imaging Meeting), Champéry, Switzerland


Görgen, K., Reverberi, C., and Haynes, J.-D. (2011). Two double-dissociations of neural rule representations: where- vs. what-rules & identity vs. priority. Poster Abstract, Bernstein symposium "Bayesian Inference: From Spikes to Behaviour", Tübingen, Germany



Görgen, K., Bosman, C., Womelsdorf, T., Oostenveld, R., Fries, P. (2009). Improved (I)CA-noise elimination of electrophysiological data using band-pass filtered components. Front. Comput. Neurosci.


Görgen, K. (2012). Exploring brain-to-brain-connectivity - How hyperscanning can help us advance communication neuroscience. Invited Talk at the Donders Discussion Conference 2012, Nijmegen, The Netherlands


Görgen, K. (2012). Multivariate decoding of neural data: Introduction and hands-on. Selected talk at the IK2012 Meeting, Günne, Germany


Görgen, K., Hebart, M.N., and Haynes, J.-D. (2012). The Decoding Toolbox (TDT): An easy-to-use decoding package for fMRI data. Conference of the Human Brain Mapping Organization, Beijing, China


Görgen, K., Reverberi, C., and Haynes, J.-D. (2011). Decoding neural representations of rules and rule order. Conference Proceedings of the IK2011 Meeting, Günne, Germany


Görgen, K., Reverberi, C., and Haynes, J.-D. (2011). Two double-dissociations in how the brain encodes rules - Different regions encode (1) rule identity vs. rule order, and (2) rules requiring where- vs. what-responses. Frontiers in Computational Neuroscience Conference Abstract: BC11: Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011


Guggenmos, M., Obermayer, K., Haynes, J.-D., and Sterzer, P. (2011). Reward reinforcement improves visual perceptual learning of complex objects. Perception, 128.


Guggenmos, M., Rothkirch, M., Obermayer, K., Haynes, J.-D, and Sterzer, P. (2012). Neural correlates of perceptual learning of objects in the hippocampus. Perception, 126.


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Hackmack, K. (2009). Decoding neurological disease from MRI brain patterns. Front. Comput. Neurosci.


Hackmack, K. (2009). Decoding Multiple Sclerosis from MRI Brain Patterns. Berln Brain Days


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