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B

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


Oganian, Y., Conrad, M., Aryani, A., Spalek, K., and Heekeren, H.R. (2012). Model-based variation of sublexical variables predicts language decisions in bilinguals. BCCN Symposium 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


A

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.


Schreuder, M., Riccio, A., Risetti, M., Dähne, S., Ramsey, A., Williamson, J., Mattia, D., and Tangermann, M. (2013). User-centered design in BCI - a case study. Artificial Intelligence in Medicine (accepted)


Bießmann, F., Murayama, Y., Meinecke, F.C., Logothetis, N.K., and Müller, K.-R. (2010). Spatiotemporal coupling between neural activity and BOLD response in primary visual cortex. AREADNE, Research in Encoding And Decoding of Neural Ensembles


Onken, A., Grünewälder, S., Munk, M., and Obermayer, K. (2008). Modeling Short-Term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex. Advances in Neural Information Processing Systems, 1233–1240.


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.


Hill, J., Farquhar, J., Martens, S.M.M., Bießmann, F., and Schölkopf, B. (2008). Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance. Advances in Neural Information Processing Systems, 665-673.


Samek, W., Blythe, D., Müller, K.-R., and Kawanabe, M. (2013). Robust spatial filtering with beta divergence. Advances in Neural Information Processing Systems


9

Schmuker, M., Häusler, C., Nawrot, M.P. (). The honeybee olfactory system as a template for better neuromorphic classifiers. 9th Göttingen Meeting of the German Neuroscience Society, March 23-27


Pamir, E., Eisenhardt, D., Stollhoff, N., Menzel, R., Nawrot, M.P. (). Evidence for one-shot learning in the honeybee. 9th Göttingen Meeting of the German Neuroscience Society, March 23-27


6

Rea, E., Rummel, J., Schmidt, T.T., Heinz, A., Mathe, A.A., and Winter, C. (2013). Deep brain stimulation of the prefrontal cortex decreases depression-like behavior in a genetic rat model of depression. 68th Annual Scienti c Convention of the Society of Biological Psychiatry, and 121st Annual Convention of the Americal Psychological Association


Roemschied, F.A., Eberhard, M., Schleimer, J., Ronacher, B., and Schreiber, S. (2012). Transduction e ects on temperature-invariance of grasshopper auditory receptor neuron spike rates. 60 years of the Hodgkin-Huxley model, 65.


Schleimer, J.-H., and Stemmler, M. (2012). Phase reduction of noisy Hodgkin-Huxely models. 60 Years of Hodgkin & Huxley


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