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J

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


Kanev, J., Wenning, G. and Obermayer, K. (2004). Approximating the Response-Stimulus Correlation for the Integrate and Fire Neuron. Journal of Neurocomputing, 58-60, 47 – 52.


Hoch, T., Wenning, G. and Obermayer, K. (2005). The Effect of Correlations in the Background Activity on the Information Transmission Properties of Neural Populations. Journal of Neurocomputing, 65-66, 365 – 370.


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.


Beck, O., Chistiakova, M., Obermayer, K. and Volgushev, M. (2005). Adaptation of Synaptic Connections to Layer 2/3 Pyramidal Cells in Rat Visual Cortex. Journal of Neurophysiology, 94, 363 – 376.


Franke, F., Pröpper, R., Alle, H., Meier, P., Geiger, J. R. P., Obermayer, K. and Munk, M. H. J. (2015). Spike sorting of synchronous spikes from local neuron ensembles. Journal of Neurophysiology, 114, 2535–2549.


Obermayer, K. and Blasdel, G. (1993). Geometry of Orientation and Ocular Dominance Columns in Monkey Striate Cortex. Journal of Neuroscience, 13, 4114 – 4129.


Guo, R., Böhmer, W., Hebart, M., Chien, S., Sommer, T., Obermayer, K. and Gläscher, J. (2016). Interaction of Instrumental and Goal-directed Learning Modulates Prediction Error Representations in the Ventral Striatum. Journal of Neuroscience, 36, 12650-12660.


Schwabe, L. and Obermayer, K. (2005). Adaptivity of Tuning Functions in a Generic Recurrent Network Model of a Cortical Hypercolumn. Journal of Neuroscience, 25, 3323 – 3332.


Schwabe, L., Obermayer, K., Angelucci, A. and Bressloff, P. (2006). The Role of Feedback in Shaping the Extra-Classical Receptive Field of Cortical Neurons: A Recurrent Network Model. Journal of Neuroscience, 26, 9117 – 9129.


Bucher, D., Scholz, M., Stetter, M., Obermayer, K. and Pflüger, H.-J. (2000). Corrections Methods for Three-dimensional Reconstructions from Confocal Images: I. Tissue Shrinking and Axial Scaling. Journal of Neuroscience Methods, 100, 135 – 143.


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


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


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.


K

Hutter, F., Lücke, J. and Schmidt-Thieme, L. (2015). Beyond Manual Tuning of Hyperparameters. KI - Künstliche Intelligenz, 29, 329-337.


L

Goerttler, T. and Obermayer, K. (2021). Exploring the Similarity of Representations in Model-Agnostic Meta-Learning. Learning to Learn workshop at ICLR 2021


Jain, B. and Obermayer, K. (2007). Theory of the Sample Mean of Structures. LNVD 2007, Learning from Non-vectorial Data, 9-16.


M

Böhmer, W., Grünewalder, S., Nickisch, H. and Obermayer, K. (2012). Generating feature spaces for linear algorithms with regularized sparse kernel slow feature analysis. Machine Learning, 89, 67–86.


Grünwälder, S. and Obermayer, K. (2011). The Optimal Unbiased Extimator and its Relation to LSTD, TD and MC. Machine Learning, 83, 289 – 330.


N

Young, J., Waleszczyk, W., Wang, C., Calford, M., Dreher, B. and Obermayer, K. (2007). Cortical Reorganization Consistent with Spike Timing- but not Correlation-Dependent Plasticity. Nat. Neurosci., 10, 887 – 889.


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