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Obermayer, K., Ritter, H. and Schulten, K. (1990). A Principle for the Formation of the Spatial Structure of Cortical Feature Maps. Proceedings of the National Academy of Sciences of the United States of America, 8345 – 8349.



Obermayer, K., Ritter, H. J. and Schulten, K. J. (1990). A Neural Network Model for the Formation of Topographic Maps in the CNS: Development of Receptive Fields. Proceedings of the International Joint Conference on Neural Networks (San Diego, CA). Piscataway, NJ: IEEE.,10.1109/IJCNN.1990.137749


Obermayer, K., Schulten, K. and Blasdel, G. (1992). A Comparison of a Neural Network Model for the Formation of Brain Maps with Experimental Data. Advances in Neural Information Processing Systems 4. Morgan Kaufmann Publishers, 83 – 90.,


Obermayer, K., Sejnowski, T. and Blasdel, G. (1995). Neural Pattern Formation via a Competitive Hebbian Mechanism. Behaviour Brain Research, 66, 151 – 160.


Obermayer, K., Teich, W. and Mahler, G. (1988). Structural Basis of Multistationary Quantum Systems. I. Effective Single-particle Dynamics. Phys. Rev. B, 37, 8096 – 8110.


Obermayer K. and Blasdel, G. (1997). Singularities in Primate Orientation Maps. Neural Computation, 9, 555 – 576.


Ochab, B., Neubauer, N. and Obermayer, K. (2008). Personalized Recommendations for the Web 3D. Lecture Notes in Computer Science. Springer Verlag, 374 – 377.,http://dx.doi.org/10.1007/978-3-540-70987-9_57


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


Onken, A., Grünewälder, S., Munk, M. and Obermayer, K. (2009). Modeling Short-Term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex. 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. PLoS Comput. Biol., 5, e1000577.


Onken, A., Grünewälder, S. and Obermayer, K. (2009). Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies. 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. Journal of Physics: Conference Series. IOP.,http://dx.doi.org/10.1088/1742-6596/197/1/012019


Oschmann, F., Berry, H., Obermayer, K. and Lenk, K. (2018). From in Silico Astrocyte Cell Models to Neuron-astrocyte Network Models: A Review. Brain Research Bulletin


Oschmann, F., Mergenthaler, K., Jungnickel, E. and Obermayer, K. (2017). Spatial Separation of Two Different Pathways Accounting for the Generation of Calcium Signals in Astrocytes. PLoS Computational Biology, 13


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Pannicke, D., Hahne, M., Neubauer, N., Ochab, B., Lieb, R., Meister, M., Obermayer, K., Rammert, W. and Zarnekow, R. (2010). Akzeptanzfähigkeit von Tagging-Systemen in benutzergenerierten virtuellen Welten. Multikonferenz Wirtschaftsinformatik 2010. Universitätsverlag Göttingen, 1191 – 1201.,


Pielot, R., Scholz, M., Obermayer, K., Gundelfinger, E. and Hess, A. (1999). Optimiertes Warping durch gewichtete Summen von Verschiebungsvektoren - eine neue Methode zur Reduktion von interindividuellen Variabilitäten von Hirndaten. Bildverarbeitung für die Medizin. Springer-Verlag Heidelberg, 417 – 421.,


Pielot, R., Scholz, M., Obermayer, K., Gundelfinger, E. and Hess, A. (2000). A New Approach to Define Landmarks for Point-Based Warping in Brain Imaging. Bildverarbeitung für die Medizin. Springer-Verlag Heidelberg, 28 – 32.,


Pielot, R., Scholz, M., Obermayer, K., Gundelfinger, E. and Hess, A. (2000). Point-Based Warping with Optimized Weighting Factors of Displacement Vectors.. Medical Imaging 2000, 1387 – 1395.,


Pielot, R., Scholz, M., Obermayer, K., Gundelfinger, E. and Hess, A. (2001). 3D Edge Detection to Define Landmarks for Point-based Warping in Brain Imaging. International Conference on Image Processing - ICIP01. IEEE, 343 – 346.,10.1109/ICIP.2001.958498


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