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Inhalt des Dokuments



Shen, Y., Stannat, W. and Obermayer, K. (2013). Risk-sensitive Markov Control Processes. SIAM Journal on Control and Optimization, 51, 3652–3672.

Spanagel, R., Durstewitz, D., Hansson, A., Heinz, A., Kiefer, F., Köhr, G., Matthäus, F., Nöthen, M. M., Noori, H. R., Obermayer, K., Rietschel, M., Schloss, P., Scholz, H., Schumann, G., Smolka, M., Sommer, W., Vengeliene, V., Walter, H., Wurst, W., Zimmermann, U. S., Group, A. G. R., Stringer, S., Smits, Y. and Derks, E. M. (2013). A systems medicine research approach for studying alcohol addiction. Addiction Biology, 18, 883–896.

Augustin, M., Ladenbauer, J. and Obermayer, K. (2013). How Adaptation Shapes Spike Rate Oscillations in Recurrent Neuronal Networks. Front. Comput. Neurosci., 7

Xie, S., Zhu, F., Obermayer, K., Ritter, P. and Wang, L. (2013). An Efficient Spatial Selective Visual Attention Pattern Recognition Method Based on Joint Short SSVEP. ,10.1109/IJCNN.2013.6706872


Ladenbauer, J., Augustin, M., Shiau, L. and Obermayer, K. (2012). Impact of Adaptation Currents on Synchronization of Coupled Exponential Integrate-and-Fire Neurons. PLoS Computational Biology, 8

Onken, A., Dragoi, V. and Obermayer, K. (2012). A Maximum Entropy Test for Evaluating Higher-Order Correlations in Spike Counts. PLoS Computational Biology, 8

Adiloglu, K., Annies, R., Wahlen, E., Purwins, H. and Obermayer, K. (2012). A Graphical Representation and Dissimilarity Measure for Basic Everyday Sound Events. IEEE Transactions on Audio, Speech, and Language Processing, 1542 - 1552.

Böhmer, W., Grünewalder, S., Nickisch, H. and Obermayer, K. (2012). Generating feature spaces for linear algorithms with regularized sparse kernel slow feature analysis. Machine Learning, 89, 67–86.


Grünwälder, S. and Obermayer, K. (2011). The Optimal Unbiased Extimator and its Relation to LSTD, TD and MC. Machine Learning, 83, 289 – 330.

Jain, B. and Obermayer, K. (2011). Graph Quantization. J. Comput. Vision Image Understanding, 115, 946–961.

Natora, M. and Obermayer, K. (2011). An Unsupervised and Drift-adaptive Spike Detection Algorithm Based on Hybrid Blind Beamforming. EURASIP J. Adv. Signal Processing 2011, 2011

Neubauer, N. and Obermayer, K. (2011). Tripartite community structure in social bookmarking data. New Review of Hypermedia and Multimedia, 17, 267-294.

Srinivasan, D. and Obermayer, K. (2011). Probabilistic prototype models for attributed graphs. ,

Hoch, T., Volgushev, S., Malyshev, A., Obermayer, K. and Volgushev, M. (2011). Modulation of the Amplitude of γ-Band Activity by Stimulus Phase Enhances Signal Encoding. European Journal of Neuroscience, 33, 1223-1239.


Mohr, J., Jain, B., Sutter, A., Laak, A., Steger-Hartmann, T., Heinrich, H. and Obermayer, K. (2010). A Maximum Common Subgraph Kernel Method for Predicting the Chromosome Aberration Test. Journal of Chemical Information and Modelling, 50, 1821–1838.

Jain, B. and Obermayer, K. (2010). Accelerating Competetive Learning Graph Quantization. ,

Franke, F., Natora, M., Boucsein, C., Munk, M. and Obermayer, K. (2010). An Online Spike Detection and Spike Classification Algorithm Capable of Instantaneous Resolution of Overlapping Spikes. Journal of Computional Neuroscience, 127 – 148.


Neubauer, N. and Obermayer, K. (2009). Hyperincident Connected Components in Tagging Networks. ACM SIGIWEB Newsletter, 229 – 238.

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