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2010

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 [23]. Journal of Computional Neuroscience, 127 – 148.


2009

Jain, B. and Obermayer, K. (2009). Algorithms for the Sample Mean of Graphs [24]. Lecture Notes in Computer Science, 351 – 359.,


Neubauer, N. and Obermayer, K. (2009). Hyperincident Connected Components in Tagging Networks [25]. ACM SIGIWEB Newsletter, 229 – 238.


Jain, B. and Obermayer, K. (2009). Bimal: Bipartite Matching Alignment for the Contact Map Overlap Problem [26]. 2009 International Joint Conference on Neural Networks. IEEE, 1394 – 1400.,10.1109/IJCNN.2009.5178901


Jain, B., Stehr, H., Lappe, M. and Obermayer, K. (2009). Multiple Alignment of Contact Maps [27]. 2009 International Joint Conference on Neural Networks. IEEE, 1401 – 1406.,10.1109/IJCNN.2009.5178907


Jain, B. and Obermayer, K. (2009). Structure Spaces [28]. Journal of Machine Learning Research, 10, 2667 – 2714.


Martin, R. and Obermayer, K. (2009). Theoretical and Computational Neuroscience: Self-Organizing Maps [29]. The Encyclopedia of Neuroscience. Academic Press, 561 – 570.,


Murfi, H. and Obermayer, K. (2009). A Two-Level Learning Hierarchy of Concept Based Keyword Extraction for Tag Recommendations [30]. Proceedings ECML PKDD Discovery Challenge, 201 – 214.,


Natora, M., Franke, F. and Obermayer, K. (2009). Optimal Convolutive Filters for Real-Time Detection and Arrival Time Estimation of Transient Signals [31]. Proceedings of World Academy of Science, Engineering and Technology. WASET, 235 – 240.,


Neubauer, N., Wetzker, R. and Obermayer, K. (2009). Tag Spam Creates Large Non-Giant Connected Components [32]. AIRWeb '09 Proceedings of the 5th International Workshop on Adversarial Information Retrieval on the Web. Association for Computing Machinery, 49 – 52.,10.1145/1531914.1531925


Onken, A., Grünewälder, S., Munk, M. and Obermayer, K. (2009). Modeling Short-Term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex [33]. Advances in Neural Information Processing Systems 21. MIT Press, 1233 – 1240.,


Onken, A., Grünewälder, S., Munk, M. and Obermayer, K. (2009). Analyzing Short-Term Noise Dependencies of Spike-Counts in Macaque Prefrontal Cortex Using Copulas and the Flashlight Transformation [34]. PLoS Comput. Biol., 5, e1000577.


Onken, A., Grünewälder, S. and Obermayer, K. (2009). Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies [35]. Advances in Neural Information Processing Systems 22. MIT Press, 1383 – 1391.,


Onken, A. and Obermayer, K. (2009). A Frank Mixture Copula Family for Modeling Higher-Order Correlations of Neural Spike Counts [36]. Journal of Physics: Conference Series. IOP.,http://dx.doi.org/10.1088/1742-6596/197/1/012019


Puls, I., Mohr, J., Wrase, J., Vollstaedt-Klein, S., Lemenager, T., Vollmert, C., Rapp, M., Obermayer, K., Heinz, A. and Smolka, M. (2009). A Model Comparison of COMT Effects on Central Processing of Affective Stimuli [37]. Neuroimage, 46, 683 – 691.


Jain, B. and Obermayer, K. (2009). A Necessary and Sufficient Condition for Graph Matching Being Equivalent ot the Maximum Weight Clique Problem [38]. ,


Seo, S., Mohr, J. and Obermayer, K. (2009). A New Incremental Pairwise Clustering Algorithm [39]. Proceedings of the ICMLA -09: The Eighth International Conference on Machine Learning and Applications. IEEE, 223 – 228.,10.1109/ICMLA.2009.42


Stimberg, M., Wimmer, K., Martin, R., Schwabe, L., Marino, J., Schummers, J., Lyon, D., Sur, M. and Obermayer, K. (2009). The Operating Regime of Local Computations in Primary Visual Cortex [40]. Cerebral Cortex, 19, 2166 – 2180.


Wimmer, K., Stimberg, M. M. R., Schwabe, L., Marino, J. S. J., Lyon, D., Sur, M. and Obermayer, K. (2009). Dependence of Orientation Tuning on Recurrent Excitation and Inhibition in a Network Model of V1 [41]. Advances in Neural Information Processing Systems 21. MIT Press, 1769 – 1776.,


Franke, F., Natora, M., Munk, M. and Obermayer, K. (2009). Blind Source Separation of Sparse Overcomplete Mixtures and Application to Neural Recordings [42]. Independent Component Analysis and Signal Separation. Springer Berlin Heidelberg, 459 – 466.,10.1007/978-3-642-00599-2_58


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