Onken, A., Dragoi, V. and Obermayer, K. (2012). A Maximum Entropy Test for Evaluating Higher-order Correlations in Spike Counts. PLoS Comput Biol, in press.

Ladenbauer, J., Augustin, M., Shiau, L. and Obermayer, K. (2012). Impact of Adaptation Currents on Synchronization of Coupled Exponential Integrate-and-Fire Neurons. PLoS Comput. Biol., 8, e1002478.

Stimberg, M., Wimmer, K., Martin, R., Schwabe, L., Mariño, J., Schummers, J., Lyon, D., Sur, M. and Obermayer, K. (2009). The Operating Regime of Local Computations in Primary Visual Cortex. Cereb. Cortex, 19, 2166 – 2180.

Jain, B. J. and Obermayer, K. (2009). Structure Spaces. J. Mach. Learn. Res., 10, 2667 – 2714.

Franke, F., Natora, M., Boucsein, C., Munk, M. and Obermayer, K. (2009). An Online Spike Detection and Spike Classification Algorithm Capable of Instantaneous Resolution of Overlapping Spikes. J. Comput. Neurosci., 127 – 148.

Henrich, F.-F. and Obermayer, K. (2008). Active Learning by Spherical Subdivision. Journal of Machine Learning Research, 9, 105 – 130.

Young, J. M., Waleszczyk, W. J., 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.

Hochreiter, J. and Obermayer, K. (2006). Support Vector Machines for Dyadic Data. Neural Comput., 18, 1472 – 1510.

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. Nat. Neurosci., 8, 194 – 201.

Schmitt, S., Evers, J.-F., Duch, C., Scholz, M. and Obermayer, K. (2004). New Methods for the Computer-Assisted 3D Reconstruction of Neurons from Confocal Image Stacks. Neuroimage, 23, 1283 – 1298.

Wenning, G. and Obermayer, K. (2003). Activity Driven Adaptive Stochastic Resonance. Phys. Rev. Lett., 90, 120602.