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Krepki, R., Pe, Y., Meng, H. and Obermayer, K. (2000). A New Algorithm for the Interrogation of 3D Holographic PTV Data Based on Deterministic Annealing and EM-Optimization. Exp. Fluids (Suppl.), 99 – 107.


Krepki, R., Pu, Y., Meng, H. and Obermayer, K. (1999). A New Algorithm for the Interrogation of 3D Holographic Particle Tracking Velocimetry Data Based on Deterministic Annealing and EM-Optimizazion. 3rd International Workshop on Particle Image Velocimetry. PIV \'99, Santa Barbara, CA, USA, (1 – 14).,


Kuzmanovski, A., Stellmacher, M. and Obermayer, K. (1998). A New Algorithm for the Evaluation of PTV Data Using Point Matching Distance Mesaures and Deterministic Annealing. Proc. Int. Symp. on Appl. of Laser Techniques to Fluid Mechanics, 10.4.1 – 10.4.6.,


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Ladenbauer, J., Augustin, M. and Obermayer, K. (2016). Intrinsic Control Mechanisms of Neuronal Network Dynamics. Control of Self-Organizing Nonlinear Systems. Springer International Publishing, 441-460.,10.1007/978-3-319-28028-8_23


Ladenbauer, J., Augustin, M. and Obermayer, K. (2014). How Adaptation Currents Change Threshold, Gain and Variability of Neuronal Spiking. Journal of Neurophysiology, 111, 939–953.


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


Ladenbauer, J., Lehnert, J., Rankoohi, H., Dahms, T., Schöll, E. and Obermayer, K. (2013). Adaptation Controls Synchrony and Cluster States of Coupled Threshold-Model Neurons. Physical Review E, 88, 042713.



Laschos, V., Obermayer, K., Shen, Y. and Stannat, W. (2019). A Fenchel-Moreau-Rockafellar type theorem on the Kantorovich-Wasserstein space with applications in partially observable Markov decision processes. Journal of Mathematical Analysis and Applications


Liu, C., Xie, S., Xie, X., Duan, X., Wang, W. and Obermayer, K. (2018). Design of a Video Feedback SSVEP-BCI System for Car Control Based on the Improved MUSIC Method. Proceedings of the IEEE 6th International Winter Conference on Brain-Computer Interfaces


Lohoff, F., Lautenschlager, M., Mohr, J., Ferraro, T., Sander, T. and Gallinat, J. (2008). Association Between Variation in the Vesicular Monoamine Transporter 1 Gene on Chromosome 8p and Anxiety-Related Personality Traits. Neuroscience Letters, 434, 41 – 45.


Lund, J. and Obermayer, K. (2002). Visual Cortex: Anatomical Structure and Models of Function. The Handbook of Brain Theory and Neural Networks. MIT Press, 1202 – 1205.,


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Machenschalk, B., Pieenbrock, C. and Obermayer, K. (1998). The Role of Competitive Cortical Interactions in the Development of Orientation Selectivity Maps. European J. Neurosc, 10(S10):pg 243. European Forum of Neuroscience ENA.,


Mahler, G. and Obermayer, K. (1987). Towars the Quantum Computer: Information Processing with Single Electrons. Computational Systems - Natural and Artificial. Springer, 154 – 165.,10.1007/978-3-642-73089-4_13


Mariño, J., Schummers, J., Lyon, D., Schwabe, L., Beck, O., Wiesing, P., Obermayer, K. and Sur, M. (2005). Invariant Computations in Local Cortical Networks with Balanced Excitation and Inhibition. Nature Neuroscience, 8, 194 – 201.


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


Martin, R., Stimberg, M., Wimmer, K. and Obermayer, K. (2010). On the Operating Point of Cortical Computation. Journal of Physics: Conference Series 233, 233


Martinez, E., Adiloglu, K., Annies, R., Purwins, H. and Obermayer, K. (2007). Representation of Everyday Sounds for Classification of their Perceived Function. Proc. Audio Mostly Conference, 90 – 95.,


Mergenthaler, K., Oschmann, F. and Obermayer, K. (2019). Glutamate Uptake by Astrocytic Transporters. Computational Glioscience, 329-361.


Meyer, R. and Obermayer, K. (2016). pypet: A Python Toolkit for Data Management of Parameter Explorations. Frontiers Neuroinformatics, 10


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