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Almeida, M., Schleimer, J.-H., Bioucas-Dias, J.M., and Vigario, R. (2011). Source Separation and Clustering of Phase-Locked Subspaces. Neural Networks, 1419-34.

Antons, J.N., Schleicher, R., Arndt, S., Möller, S., Porbadnigk, A.K., and Curio, G. (2012). Analyzing speech quality perception using electro-encephalography. IEEE Journal of Selected Topics in Signal Processing, 721-731.

Antons, J.-N., Schleicher, R., Wolf, I., Porbadnigk, A.K., Blankertz, B., Möller, S., and Curio, G. (2010). Neural Correlates of Speech Degradation – Subjective Ratings and Brain Activation in Case of Signal-correlated Noise. In Proc. of the 3rd Int’l Workshop on Perceptual Quality of Systems


Balta, S., Beck, A., Deserno, L., Heinz, A., and Obermayer, K. (2012). Computational modeling of probabilistic reversal learning in alcohol use disorder. 2012 Neuroscience Meeting Planner. New Orleans, LA: Society for Neuroscience (online)

Behrend, O., Branoner, F., Zhivkov, Z., and Ziehm, U. (2006). Neural Responses to Water Surface Waves in the Midbrain of the Aquatic Predator Xenopus Laevis Laevis. Eur J Neurosci., 729-44.

Behrend, O., Branoner, F., Ziehm, U., and Zhivkov, Z. (2008). Lateral Line Units in the Amphibian Brain Could Integrate Wave Curvatures. J Comp Physiol A Neuroethol Sens Neural Behav Physiol., 777-83.

Betkiewicz, R., Ladenbauer, J., Mergenthaler, K., and Obermayer, K. (2012). E ects of spiketiming dependent plasticity on network dynamics in a primary visual cortex model. Frontiers in Computationas Neuroscience. Conference Abstract: Bernstein Conference

Betkiewicz, R., Schmuker, M., Farkhooi, F., and Nawrot, M.P. (2013). A model for sparse and reliable encoding of olfactory cues in the honeybee. 11th Gottingen Meeting of the German Neuroscience Society

Betz, T., Maertens, M., and Wichmann, F.A. (2013). Spatial ltering vs edge integration: comparing two computational models of lightness perception. European Conference on Visual Perception

Betz, T., and Maertens, M. (2012). Perception of angles between surfaces is biased towards right angles. European Conference on Visual Perception

Bhattacharyya, A., Bießmann, F., Veit, J., Kretz., R., and Rainer, G. (2012). Functional and laminar dissociations between muscarinic and nicotinic neuromodulation in the tree shrew primary visual cortex. Eur J Neurosci, 1270-80.

Bießmann, F., Meinecke, F.C., and Müller, K.-R. (2011). Unsupervised decomposition methods for analysis of multi-modal neural data. Introduction to Neural Engineering for Motor Rehabilitation. Wiley-IEEE Press.

Bießmann, F., Murayama, Y., Logothetis, N.K., Müller, K.-R., and Meinecke, F. (2012). Improved decoding of neural activity from fMRI signals using non-separable spatiotemporal deconvolutions. Neuroimage, 1031-1042.

Bießmann, F., Papaioannou, J.M., Braun, M., and Harth, A. (2012). Canonical trends: Detecting trend setters in web data. In Proceedings of the 29th International Conference on Machine Learning, Edinburgh, Scotland, UK

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. Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing

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