Porbadnigk, A.K., Görnitz, N., Kloft, M., and Müller, K.-R. (2013). Decoding brain states by supervising unsupervised learning. Journal of Computing Science and Engineering (accepted)

Dähne, S., Bießmann, F., Meinecke, F.C., Mehnert, J., Fazli, S., and Müller, K.-R. (2013). Integration of multivariate data streams with bandpower signals. IEEE Transactions on Multimedia, 1001-1013.

Daähne, S., Meinecke, F.C., Haufe, S., Höhne, J., Tangermann, M., Müller, K.-R., and Nikulin, V. (2013). SPoC: a novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters. NeuroImage (in press)

Schreuder, M., Riccio, A., Risetti, M., Dähne, S., Ramsey, A., Williamson, J., Mattia, D., and Tangermann, M. (2013). User-centered design in BCI - a case study. Artificial Intelligence in Medicine (accepted)

Höhne, J., Krenzlin, K., Dähne, S., and Tangermann, M. (2013). Natural stimuli improve auditory BCIs with respect to ergonomics and performance. Journal of Neural Engineering, 045003.

Schönfelder, V.H., and Wichmann, F.A. (2013). Identication of stimulus cues in narrow-band tone-in-noise detection using sparse observer models. Journal of the Acoustical Society of America, 447-463.

Meckenhäuser, G., Hennig, R.M., and Nawrot, M.P. (2013). Critical song features for auditory pattern recognition in crickets. PLoS ONE

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

Haenicke, J., Pamir, E., and Nawrot, M.P. (2013). A computational model of fast associative learning in the honeybee. Conference talk, symposium 13, 10th Meeting of the German Neuroscience Society Gottingen

Helgadottir, L.I., Haenicke, J., Landgraf, T., Rojas, R., and Nawrot, M.P. (2013). Conditioned behavior in a robot controlled by a spiking neural network. Conference paper, 6th International IEEE EMBS Conference on Neural Engineering

Schoenfelder, V. (2013). Identification of Stimulus Cues in Tone-in-Noise Detection with Sparse Logistic Regression. Technische Universität Berlin

Sonnenschein, B., Sagués, F., and Schimansky-Geier, L. (2013). Networks of noisy oscillators with correlated degree and frequency dispersion. European Physical Journal B, 12.

Dold, H. (2013). On modelling data from visual psychophysics: A Bayesian graphical model approach. Technische Universität Berlin

Pamir, E. (2013). From behavioral plasticity to neuronal computation: An investigation of associative learning in the honeybee brain. Freie Universität Berlin

Schleimer, J.H. (2013). Spike statistics and coding properies of phase models – From ion channels to neural coding. Humboldt-Universität zu Berlin