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Sheikh, A.-S., Shelton, J. A. and Lücke, J. (2014). A Truncated EM Approach for Spike-and-Slab Sparse Coding. Journal of Machine Learning Research, 15, 2653–2687.

Shelton, J. A., Sheikh, A.-S., Bornschein, J., Sterne, P. and Lücke, J. (2015). Nonlinear Spike-And-Slab Sparse Coding for Interpretable Image Encoding. PLoS ONE, 10, e0124088.

Shen, Y., Huang, R., Yan, C. and Obermayer, K. (2014). Risk-Averse Reinforcement Learning for Algorithmic Trading. 2014 IEEE Computational Intelligence for Financial Engineering and Economics, 391-398.,10.1109/CIFEr.2014.6924100

Shen, Y., Stannat, W. and Obermayer, K. (2014). A Unified Framework for Risk-sensitive Markov Control Processes. 53rd IEEE Conference on Decision and Control, 1073-1078.,10.1109/CDC.2014.7039524

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

Shen, Y., Tobia, M. J., Sommer, T. and Obermayer, K. (2014). Risk-sensitive Reinforcement Learning. Neural Computation, 26, 1298-1328.

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.

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.,

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.

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