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Schmuker, M., Häusler, C., Brüderle, D., Nawrot, M.P. (). Benchmarking the impact of information processing in the insect olfactory system with a neuromorphic classifier [23]. Twentieth Annual Computational Neuroscience Meeting CNS*2011, Stockholm, July 23-28, BMC Neuroscience 2011

Bießmann, F., Murayama, Y., Logothetis, N.K., Müller, K.-R., and Meinecke, F.C. (2012). Spatiotemporal searchlights improve decoding of intracranial neural activity from fMRI signals [24]. to appear in Lecture Notes in Artificial Intelligence

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Görgen, K., and Hebart, M.N. (2013). Multivariate Mustererkennung (MVPA) fur fMRT [28]. Satellite course for the SPM course, UKE Hamburg

Roemschied, F.A., Eberhard, M.J.B., Ronacher, B., and Schreiber, S. (2011). Single-neuron mechanisms of temperature compensation in the locust auditory system [29]. Proceedings, 8th International PhD Symposium, Berlin Brain Days, 80.

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Clemens, J., Kutzki, O., Ronacher, B., Schreiber, S., and Wohlgemuth, S. (2011). Ecient transformation of an auditory population code [31]. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 13812-13817.

Bießmann, F., Papaioannou, J.M., Harth, A., Jugel, M.L., Müller, K.-R., and Braun, M. (2012). Quantifying spatiotemporal dynamics of twitter replies to news feeds [32]. Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing

Dähne, S., Höhne, J., and Tangermann, M. (2011). Adaptive classification improves control performance in ERP-based BCIs [33]. Proceedings of the 5th International BCI Conference 2011, 92-95.

Bodiroža, S., Doisy, G., and Hafner, V.V. (2013). Position-invariant, real-time gesture recognition based on dynamic time warping [34]. 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 [35]. Proceedings of the 2013 8th ACM/IEEE International Conference on Human-Robot Interaction, 117-118.

Bodiroža, S., Stern, H.I., and Edan, Y. (2012). Dynamic gesture vocabulary design for intuitive human-robot dialog [36]. Proceedings of the 2012 7th ACM/IEEE International Conference on Human-Robot Interaction, 111-12.