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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


Garcia, S., Dejean, C., Estebanez, L., Guarino, D., Jaillet, F., Jennings, T., Mahnoun, Y., Pröpper, R., Rautenberg, P., Rodgers, C., Sobolev, A., Wachtler, T., Yger, P., and Davison, A.P. (2013). Neo: a universal object model for handling electrophysiology data in multiple formats. Frontiers in Neuroinformatics


F

Franke, F., Natora, M., Boucsein, C., Munk, M.H., and Obermayer, K. (2008). Online spike detection and sorting capable of instantaneous resolution of overlapping spikes. Front. Comput. Neurosci.


Franke, F., Natora, M., Waizel, M., Muckli, L.F., Pipa, G., Obermayer, K., and Munk, M.H. (2009). Prefrontal firing rates reflect the number of stimuli processed for visual short-term memory. Front. Comput. Neurosci.


Franke, F., Natora, M., Waizel, M., Muckli, L.F., Pipa, G., Obermayer, K., and Munk, M.H. (2009). Prefrontal Firing Rates Reflect the Number of Stimuli Processed for Visual Short-Term Memory. Annual meeting of the Society for Neuroscience, SfN2009, Chicago, IL, USA


Franke, F., Natora, M., Meier, P., Hagen, E., Pettersen, K.H., Linden, H., Einevoll, G.T., Munk, M.H., and Obermayer, K. (2010). Automated Positioning of Extracellular Multi Electrodes for Online Spike Sorting. Annual meeting of the Society for Neuroscience, SfN2010, San Diego, California, USA


Franke, F., Natora, M., Meier, P., and Obermayer, K. (2010). A Website for Automated Spike Sorting Evaluation. Bernstein Conference on Computational Neuroscience 2010, Berlin, Germany


Franke, F., Natora, M., Meier, P., Hagen, E., Pettersen, K.H., Linden, H., Einevoll, G., and Obermayer, K. (2010). An Automated Online Positioning System and Simulation Environment for Multi-Electrodes in Extracellular Recordings. 32nd Annual International IEEE EMBS Conference 2010, Buenos Aires, Argentina, 593-597.


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