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Görgen, K., Reverberi, C., and Haynes, J.-D. (2010). Decoding Neural Representations of Conditional Rules from fMRI Data [23]. 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 [24]. 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 [25]. 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 [26]. Poster Abstract, Bernstein symposium "Bayesian Inference: From Spikes to Behaviour", Tübingen, 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 [27]. Front. Comput. Neurosci. Conference Abstract: BC11


Görgen, K., Bosman, C., Womelsdorf, T., Oostenveld, R., Fries, P. (2009). Improved (I)CA-noise elimination of electrophysiological data using band-pass filtered components [28]. Front. Comput. Neurosci.


Görgen, K. (2012). Exploring brain-to-brain-connectivity - How hyperscanning can help us advance communication neuroscience [29]. Invited Talk at the Donders Discussion Conference 2012, Nijmegen, The Netherlands


Görgen, K. (2012). Multivariate decoding of neural data: Introduction and hands-on [30]. 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 [31]. 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 [32]. 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 [33]. 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 [34]. 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 [35]. Perception, 126.


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Hackmack, K. (2009). Decoding neurological disease from MRI brain patterns [36]. Front. Comput. Neurosci.


Hackmack, K. (2009). Decoding Multiple Sclerosis from MRI Brain Patterns [37]. Berln Brain Days


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