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2009

Dähne, S., Wilbert, N., and Wiskott, L. (2009). Learning Complex Cell Units from Simulated Prenatal Retinal Waves with Slow Feature Analysis [23]. 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 [24]. BMC Neuroscience 2009, P86.


Schönfelder, V.H., and Wichmann, F.A. (2009). Machine Learning in Auditory Psychophysics: System Identification beyond Regression Analysis [25]. 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 [26]. Front. in Comput. Neurosci.


Ziehm, U., Jannis Hildebrandt, J., and Benda, J. (2009). Intensity Invariance Emerging in a Feed Forward Network [27]. 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 [28]. Bernstein Conference on Computational Neuroscience in Frankfurt


Onken, A., Grünewälder, S., and Obermayer, K. (2009). Correlation Coefficients Are Insufficient for Analyzing Spike Count Dependencies [29]. 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 [30]. Front. in Comput. Neurosci.


Onken, A., and Obermayer, K. (2009). A Frank Mixture Copula Family for Modeling Higher-Order Correlations of Neural Spike Counts [31]. 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 [32]. 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 [33]. World Academy of Science, Engineering and Technology 55, Oslo, Norway


Hackmack, K. (2009). Decoding Multiple Sclerosis from MRI Brain Patterns [34]. 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 [35]. 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 [36]. 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 [37]. Annual meeting of the Society for Neuroscience, SfN2009, Chicago, IL, USA


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