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All Publications by GRK Members

Schönfelder, V.H. and Wichmann, F.A. (2010). Machine Learning in Auditory Psychophysics: System Identification with Sparse Pattern Classifiers. Proceedings of KogWis – 10th Meeting of the German Society for Cognitive Science, Potsdam, 2010

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

Samek, W., Kawanabe, M., and Vidaurre, C. (2011). Group-wise Stationary Subspace Analysis - A Novel Method for Studying Non-Stationarities. Proceedings of 5th International Brain-Computer Interface Conference 2011

Roemschied, F.A., Eberhard, M.J.B., Ronacher, B., and Schreiber, S. (2011). Single-neuron Mechanisms of Temperature Compensation in the Locust Auditory System. Conference abstract and poster presentation. Champalimaud Neuroscience Symposium, Lisbon, Portugal

Onken, A., Grünewälder, S., Munk, M. H. J., and Obermayer, K. (2010). A Maximum Entropy Mutual Information Test for Spike Counts of V1.. Society for Neuroscience Annual Meeting 2010, San Diego, California.

Onken, A. (2011). Stochastic Analysis of Neural Spike Count Dependencies. Technische Universität Berlin

Natora, M., Franke, F., Boucsein, C., Munk, M.H., and Obermayer, K. (2008). Online Spike Sorting with Optimal Multichannel Filters. 4th International Workshop on Statistical Analysis of Neuronal Data (SAND4), Pittsburgh PA, USA

Natora, M., Franke, F., and Obermayer, K. (2010). Spike Detection in Extracellular Recordings by Hybrid Blind Beamforming. 32nd Annual International IEEE EMBS Conference 2010, Buenos Aires, Argentina

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

Kawanabe, M., Samek, W., von Bünau, P., and Meinecke, F. (2011). An information geometrical view of stationary subspace analysis. Artificial Neural Networks and Machine Learning – ICANN 2011. Springer Berlin / Heidelberg, 397-404.

Häusler, C., Nawrot, M. P., and Schmuker, M. (2011). A spiking neuron classifier network with a deep architecture inspired by the olfactory system of the honeybee. 5th International IEEE EMBS Conference on Neural Engineering 2011, Cancun, Mexico

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

Hackmack, K. (2010). Predicting Clinical Disability in Multiple Sclerosis Based on Structural MRI. International Conference on Neuroimmunology

Görgen, K., Reverberi, C., and Haynes, J.-D. (2010). Decoding neural representations of rules and rule order. Poster Abstract, Bernstein Conference on Computational Neuroscience. Berlin, Germany, 27 Sep - 1 Oct, 2010. In FRONTIERS EVENTS: Bernstein Conference on Computational Neuroscience.

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