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Porbadnigk, A.K., Scholler, S., Blankertz, B., Ritz, A., Born, M., Scholl, R., Müller, K.-R., Curio, G., and Treder, M.S. (2011). Revealing the neural response to imperceptible peripheral flicker with machine learning. Conference Proceedings IEEE Engineering in Medicine and Biology Society, 3692-5.


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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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Porbadnigk, A.K., Antons, J.-N., Blankertz, B., Treder, M.S., Schleicher, R., Moeller, S., and Curio, G. (2010). Using ERPs for Assessing the (Sub)Conscious Perception of Noise. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience., 2690-3.


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Bießmann, F., Plis, S.M., Meinecke, F.C., Eichele, T., and Müller, K.R. (2011). Analysis of Multimodal Neuroimaging Data. IEEE Reviews in Biomedical Engineering, 26-58.


Samek, W., Meinecke, F.C., and Müller, K.-R. (2013). Transferring subspaces between subjects in brain-computer interfacing. IEEE Transactions on Biomedical Engineering


Dähne, S., Höhne, J., Haufe, S., Meinecke, F., Tangermann, M., Nikulin, V., and Müller, K.-R. (2012). Multi-variate correlation of power spectral density. In Proceedings of the HBM Conference 2012, Beijing, China, June 2012


Porbadnigk, A.K., Curio, G., and Müller, K.-R. (2011). Towards EEG-based Assessment of Audio Quality. In Proceedings of the Joint Workshop of the German Research Training Groups in Computer Science


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Natora, M., Franke, F., Munk, M.H., and Obermayer, K. (2009). Blind Source Separation of Sparse, Overcomplete Mixtures and Application to Neural Recordings. In Proceedings ICA'2009, 459-466.


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Bießmann, F., Dähne, S., Meinecke, F.C., Blankertz, B., Görgen, K., Müller, K.-R., and Haufe, S. (2012). On the interpretability of linear multivariate neuroimaging analyses: Filters, patterns and their relationship. NIPS Workshop on Machine Learning and Inference in Neuroimaging


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Görgen, K., Schultze-Kraft, R., Haynes, J.-D., and Blankertz, B. (2013). Cooperating brains: Dual-BCI as a new paradigm to investigate brain-to-brain coordination. Peer-reviewed Conference Proceedings of the BCI Meeting 2013, Asilomar, USA


Schultze-Kraft, R., Görgen, K., Wenzel, M., Haynes, J.-D., and Blankertz, B. (2013). Cooperating brains: Joint control of a dual-BCI. Peer-reviewed Conference Proceedings of the Joint Action Meeting JAM 2013, Berlin, Germany


Wojcikiewicz, W., Vidaurre, C., and Kawanabe, M. (2011). Improving Classification Performance of BCIs by Using Stationary Common Spatial Patterns and Unsupervised Bias Adaptation. Hybrid Artificial Intelligent Systems. Springer Berlin / Heidelberg, 34-41.


Bodiroža, S., Stern, H.I., and Edan, Y. (2012). Dynamic gesture vocabulary design for intuitive human-robot dialog. Proceedings of the 2012 7th ACM/IEEE International Conference on Human-Robot Interaction, 111-12.


Bodiroža, S., Doisy, G., and Hafner, V.V. (2013). Position-invariant, real-time gesture recognition based on dynamic time warping. Proceedings of the 2013 8th ACM/IEEE International Conference on Human-Robot Interaction, 87-8.


Doisy, G., Bodiroža, S., and Jetvić, A. (2013). Spatially unconstrained, gesture-based humanrobot interaction. Proceedings of the 2013 8th ACM/IEEE International Conference on Human-Robot Interaction, 117-118.


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