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All Publications by GRK Members

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Droste, F., Schwalger, T., and Lindner, B. (2012). Heterogeneous short-term plasticity enables spectral separation of information in the neural spike train. BMC Neuroscience, P98.


Donoso, J.R., Maier, N., Schmitz, D., and Kempter, R. (2010). Reliability of synaptic conductance measurements during sharp-wave ripples. Frontiers in Computational Neuroscience Conference Abstract: Bernstein Conference on Computational Neuroscience



Dold, H.M.H., Dähne, S., and Wichmann, F.A. (2010). E ects of arbitrary structural choices on the parameters of early spatial vision models. Journal of Vision


Dold, H.M.H, Fründ, I. and Wichmann, F.A. (2011). Separate Bayesian inference reveals model properties shared between multiple experimental conditions. Frontiers in Computational Neuroscience Conference Abstract: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting


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.


Davison, A., Benda, J., Eglen. S, Harris, K., Jackson, T., Gerhard, S., Gerkin, R., Grewe, J., Mouček, R., Pröpper, R., Sessions, H., Smith, L., Sobolev, A., Sommer, F., Stoewer, A., Teeters, J., and Wachtler, T. (2013). Considerations for developing a standard for storing electrophysiology data in HDF5. Neuroinformatics (accepted)


Dähne, S., Höhne, J., Schreuder, M., and Tangermann, M. (2011). Slow feature analysis - A tool for extraction of discriminating event-related potentials in brain-computer interfaces. Artificial Neural Networks and Machine Learning ICANN, 36-43.


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.


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


Dähne, S., Höhne, J., and Tangermann, M. (2011). Adaptive classification improves control performance in ERP-based BCIs. 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. Frontiers in Human Neuroscience Conference Abstract: XI International Conference on Cognitive Neuroscience (ICON XI)


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


Dähne, S., Höhne, J., Haufe, S., Meinecke, F., Tangermann, M., Nikulin, V., and Müller, K.-R. (2012). Optimal spatial filters for correlating band power with cognitive function. BBCI Workshop Berlin, September 2012


Dähne, S., Wilbert, N., and Wiskott, L. (2009). Learning Complex Cell Units from Simulated Prenatal Retinal Waves with Slow Feature Analysis. BMC Neuroscience 2009, P129.


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