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Dähne, S., Müller, K.-R., and Tangermann, M. (2011). Slow feature analysis as a potential preprocessing tool in BCI [23]. International Journal of Bioelectromagnetism, 100-101.

Dähne, S., Höhne, J., and Tangermann, M. (2011). Adaptive classification improves control performance in ERP-based BCIs [24]. Proceedings of the 5th International BCI Conference 2011, 92-95.

Dähne, S., Höhne, J., and Tangermann, M. (2011). Band power features correlate with performance in auditory brain-computer interface [25]. Frontiers in Human Neuroscience Conference Abstract: XI International Conference on Cognitive Neuroscience (ICON XI)

Einevoll, G.T., Hagen, E., and Franke, F. (2011). Facilitation of spike sorting evaluation [26]. Workshop organization, Ski, Norway

D'Albis, T., Haenicke, J., Strube-Bloss, M.F., Schmuker, M., Menzel, R., and Nawrot, M.P. (2011). Learning-induced changes at the single neuron level predict behavioral performance in the honeybee [27]. Bernstein Conference proceedings [T24]

Meyer, J., Haenicke, J., Landgraf, T., Schmuker, M., Rojas, R., and Nawrot, M.P. (2011). A digital receptor neuron connecting remote sensor hardware to spiking neural networks [28]. Bernstein Conference proceedings [W84]

Meckenhäuser, G., Hennig, R.M., and Nawrot, M.P. (2011). Evaluating the importance of di erent temporal features of calling songs in cricket phonotaxis [29]. Frontiers in Computational Neuroscience. Conference Abstract: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting

Meckenhäuser, G., Hennig, R.M., and Nawrot, M.P. (2011). Modeling phonotaxis in female Gryllus bimaculatus with arti cial neural networks [30]. BMC Neuroscience, 234.

Schönfelder, V.H., and Wichmann, F.A. (2011). Extracting auditory cues in tone-in-noise detection with a sparse feature selection algorithm [31]. Front. Comput. Neurosci.

Schönfelder, V.H., Fründ, I., and Wichmann, F.A. (2011). Peering into the black box: Using sparse feature selection to identify critical stimulus properties in audition [32]. Berlin Brain Days, Berlin, Talk

Srinivasan, S.D. (2011). Representation, Inference, and Learning on Structured Data [33]. TU Berlin

Wojcikiewicz, W. (2011). Single-Trial Classification of EEG Data in Non-Stationary Environments [34]. Joint Workshop of the German Research Training Groups in Computer Science. GITO mbH Verlag, 243.

Ziehm, U., and Benda, J. (2011). Modulation of Information Transmission in a Convergent Sensory Network [35]. Abstracts of the Ninth Göttingen Meeting of the German Neuroscience Society

Wojcikiewicz, W., Vidaurre, C., and Kawanabe, M. (2011). Improving Classification Performance of BCIs by Using Stationary Common Spatial Patterns and Unsupervised Bias Adaptation [36]. Hybrid Artificial Intelligent Systems. Springer Berlin / Heidelberg, 34-41.

Samek, W., Kawanabe, M., and Vidaurre, C. (2011). Group-wise Stationary Subspace Analysis - A Novel Method for Studying Non-Stationarities [37]. Proceedings of 5th International Brain-Computer Interface Conference 2011

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