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All Publications by GRK Members

2009

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.


Bießmann, F., Gretton, A., Meinecke, F.C., Rainer, G., Müller K.-R., Logothetis, N., and Rauch, A. (2009). Investigating neurovascular coupling using canonical correlation analysis between pharmacological MRI and electrophysiology. BMC Neuroscience 2009, P86.


Schönfelder, V.H., and Wichmann, F.A. (2009). Machine Learning in Auditory Psychophysics: System Identification beyond Regression Analysis. Berlin Brain Days, Berlin, Germany


Waizel, M., Franke, F., Pipa, G., Chen, N., Muckli, L.F., and Obermayer, K. (2009). Neuronal coding challenged by memory load in prefrontal cortex. Front. in Comput. Neurosci.


Ziehm, U., Jannis Hildebrandt, J., and Benda, J. (2009). Intensity Invariance Emerging in a Feed Forward Network. Abstracts of the Eighth Göttingen Meeting of the German Neuroscience Society


Schleimer, J.-H., and Stemmler, M. (2009). Neuronal Phase Response Curves for Maximal Information Transmission. Bernstein Conference on Computational Neuroscience in Frankfurt


Onken, A., Grünewälder, S., and Obermayer, K. (2009). Correlation Coefficients Are Insufficient for Analyzing Spike Count Dependencies. Advances in Neural Information Processing Systems. Citeseer, 1383-1391.


Onken, A., Grünewälder, S., and Obermayer, K. (2009). Extensions to copula based modeling of spike counts. Front. in Comput. Neurosci.


Onken, A., and Obermayer, K. (2009). A Frank Mixture Copula Family for Modeling Higher-Order Correlations of Neural Spike Counts. J. Phys.: Conf. Ser.. IOP Publishing, 012019.


Natora, M., Franke, F., Munk, M.H., and Obermayer, K. (2009). Blind Source Separation of Sparse, Overcomplete Mixtures and Application to Neural Recordings. In Proceedings ICA'2009, 459-466.


Natora, M., Franke, F., and Obermayer, K. (2009). Optimal Convolutive Filters for Real-Time Detection and Arrival Time Estimation of Transient Signals. World Academy of Science, Engineering and Technology 55, Oslo, Norway


Hackmack, K. (2009). Decoding Multiple Sclerosis from MRI Brain Patterns. Berln Brain Days


Görgen, K., Bosman, C., Womelsdorf, T., Oostenveld, R., Fries, P. (2009). Improved (I)CA-noise elimination of electrophysiological data using band-pass filtered components. Front. Comput. Neurosci.


Franke, F., Natora, M., Waizel, M., Muckli, L.F., Pipa, G., Obermayer, K., and Munk, M.H. (2009). Prefrontal firing rates reflect the number of stimuli processed for visual short-term memory. Front. Comput. Neurosci.


Franke, F., Natora, M., Waizel, M., Muckli, L.F., Pipa, G., Obermayer, K., and Munk, M.H. (2009). Prefrontal Firing Rates Reflect the Number of Stimuli Processed for Visual Short-Term Memory. Annual meeting of the Society for Neuroscience, SfN2009, Chicago, IL, USA


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