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


Stellmacher, M. and Obermayer, K. (2000). A New Particle Tracking Algorithm Based on Deterministic Annealing and Alternative Distance Measures. Experiments in Fluids, 28, 506 – 518.


Stetter, M., Adorjan, P., Bartsch, H. and Obermayer, K. (1998). Modelling Contrast Adaptation and Contextual Effects in Primary Visual Cortex. Proceedings of the ICONIP 98 Conference, Kitakyushu, 669 – 672.,10.1.1.54.7043


Stetter, M., Bartsch, H. and Obermayer, K. (2000). A Mean Field Model for Orientation Tuning, Contrast Saturation and Contextual Effects in Area 17. Biological Cybernetics, 82, 291 – 304.


Stetter, M., Greve, H., Galizia, C. and Obermayer, K. (2001). Analysis of Calcium Imaging Signals from the Honeybee Brain by Nonlinear Models. Neuroimage, 13, 119 – 128.


Stetter, M., Lang, E. and Obermayer, K. (1997). Synapse Clustering Can Drive Simultaneous ON-OFF and Ocular Dominance Segregation in a Model of Area 17. Artificial Neural Networks - ICANN 97. Springer-Verlag, 189 – 194.,10.1007/BFb0020154


Stetter, M., Lang, E. and Obermayer, K. (1998). Unspecific long-term potentiation can evoke functional segregation in a model of area 17. Neuroreport, 9, 2697 – 2702.


Stetter, M., Lang, E., Weih, P. and Obermayer, K. (1998). Simultaneous Stabilization of On-Off and Ocular Dominance Patches by Modeled Unspecific LTP. European J. Neurosc, 10(S10):pg 332. European Forum of Neuroscience ENA.,


Stetter, M., Lang, E., Weih, P. and Obermayer, K. (1998). Unspecific LTP May Lead to Simultaneous and Robust ON-OFF and Eye-Dominance Segregation in Correlation Based Learning Models. Proceedings. Machines that Learn Workshop, Snowbird.,


Stetter, M. and Obermayer, K. (2000). Biology and Theory of Early Vision in Mammals. Brains and Biological Neural Networks. INNS Press, (1 – 50).,


Stetter, M. and Obermayer, K. (2000). Biology and Theory of Early Vision in Mammals. International Joint Conference on Neural Networks (IJCNN\'99), (1 – 50).,


Stetter, M. and Obermayer, K. (1999). Simulation of Scanning Laser Techniques for Optical Imaging of Blood-Related Intrinsic Signals. Journal of the Optical Society of America, 16, 58 – 70.


Stetter, M., Schießl, I., Otto, T., Sengpiel, F., Hübener, M., Bonhoeffer, T. and Obermayer, K. (2000). Principal Component Analysis and Blind Separation of Sources for Optical Imaging of Intrinsic Signals. Neuroimage, 11, 482 – 490.


Stimberg, M., Hoch, T. and Obermayer, K. (2007). The Effect of Background Noise on the Precision of Pulse Packet Propagation in Feed-Forward Networks. Neurocomputing, 70, 1824 – 1828.


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. Cerebral Cortex, 19, 2166 – 2180.


Svensson, C.-M., Krusekopf, S., Lücke, J. and Figge, M. T. (2014). Automated Detection of Circulating Tumour Cells With Naive Bayesian Classifiers. Cytometry Part A, 85, 501–511.


Südholt, M., Piepenbrock, C., Obermayer, K. and Pepper, P. (1997). Solving Large Systems of Differential Equations using Convolutions by Transformation. IFIP Working Conference on Algorithmic Languages and Calculi, Strasbourg. Chapman \\& Hall, (1 – 27).,


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Teich, W., Obermayer, K. and Mahler, G. (1988). Structural Basis of Multistationary Quantum Systems. II. Effective Few-particle Dynamics. Physical Review B, 37, 8111 – 8121.


Tobia, M. J., Guo, R., Schwarze, U., Böhmer, W., Gläscher, J., Finckh, B., Marschner, A., Büchel, C., Obermayer, K. and Sommer, T. (2014). Neural Systems for Choice and Valuation with Counterfactual Learning Signals. NeuroImage, 89, 57-69.


Tobia, M. J., Guo, R., Schwarze, U., Böhmer, W., Gläscher, J., Finckh, B., Marschner, A., Büchel, C., Obermayer, K. and Sommer, T. (2014). Counterfactual Q-learning in a Strategic Sequential Investment Task: Serotonergic and Dopaminergic Involvement in the Medial Prefrontal Cortex and Striatum. Neuroimage


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