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Journal Publications by GRK members

A

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.


B

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.


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., 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., Meinecke, F.C., Gretton, A., Rauch, A., Rainer, G., Logothetis, N.K., and Müller, K.R. (2010). Temporal kernel CCA and its application in multimodal neuronal data analysis. Machine Learning Journal, 5-27.


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. to appear in Lecture Notes in Artificial Intelligence


Biessmann, F., Plis, S., Meinecke, F.C., Eichele, T., and Müller, K.-R. (2011). Analysis of multimodal neuroimaging data. IEEE Reviews in Biomedical Engineering, 26-58.


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.


Blythe, D., Samek, W., and Müller, K.-R. (2011). Stationary linear discriminant analysis - Classifying non-stationary features in brain-computer interfacing. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience


Blythe, D.A.J., Meinecke, C., von Bünau, P., and Müller, K.-R. (2013). Explorative data analysis for changes in neural activity. Journal of Neural Engineering, 026018.


C

Clemens, J., Weschke, G., Vogel, A., and Ronacher, B. (2010). Intensity invariance properties of auditory neurons compared to the statistics of relevant natural signals in grasshoppers. Journal of Comparative Physiology A, 285-297.


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


Clemens, J., Wohlgemuth, S., and Ronacher, B. (2012). Nonlinear computations underlying temporal and population sparseness in the auditory system of the grasshopper. Journal of Neuroscience, 10053-10062.


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