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Erwin, E., Obermayer, K. and Schulten, K. (1992). Self-Organizing Maps: Ordering, Convergence Properties and Energy Functions. Biological Cybernetics, 67, 47 – 55.

Erwin, E., Obermayer, K. and Schulten, K. (1992). Self-Organizing Maps: Stationary States, Metastability and Convergence Rate. Biological Cybernetics, 67, 35 – 45.

Huys, Q., Deserno, L., Obermayer, K., Schlagenhauf, F. and Heinz, A. (2016). Model-free temporal-difference learning and dopamine in alcohol dependence: examining concepts from theory and animals in human imaging. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 1, 401 - 410.

Puls, I., Mohr, J., Wrase, J., Priller, J., Behr, J., Kitzrow, W., Makris, N., Breiter, H., Obermayer, K. and Heinz, A. (2008). Synergistic Effects of the Dopaminergic and Glutamatergic System on Hippocampal Volume in Alcohol-Dependent Patients. Biological Psychology, 79, 126 - 136.

Schwabe, L. and Obermayer, K. (2002). Rapid Adaptation and Efficient Coding. Biosystems, 67, 239 – 244.

Oschmann, F., Berry, H., Obermayer, K. and Lenk, K. (2018). From in Silico Astrocyte Cell Models to Neuron-astrocyte Network Models: A Review. Brain Research Bulletin


Koren, V., Andrei, A., Hu, M., Dragol, V. and Obermayer, K. (2020). Pair-wise Synchrony and Correlations Depend on the Structure of the Population Code in Visual Cortex. Cell Reports, 2020

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.

Schmidt, S., Scholz, M., Haberbosch, L., Mante, A., Obermayer, K. and Brandt, S. A. (2015). P273: Fast induction of alpha entrainment with bandwidth confined electric and photic stimulation.. Clinical Neurophysiology, 125, S122.

Cakan, C., Jajcay, N. and K, O. (2021). neurolib: A Simulation Framework for Wholebrain Neural Mass Modeling. Cognit. Comput., 2021

Tobia, M. J., Guo, R., Gläscher, J., Schwarze, U., Brassen, S., Büchel, C., Obermayer, K. and Sommer, T. (2016). Altered behavioral and neural responsiveness to counterfactual gains in the elderly. Cognitive, Affective, & Behavioral Neuroscience, 457-472.

Xie, S., Liu, C., Obermayer, K., Zhu, F., Wang, L., Xie, X. and Wang, W. (2016). Stimulator Selection in SSVEP Based Spatial Selective Attention Study. Comput. Intelligence Neurosci., 2016

Aspart, F., Remme, M. and Obermayer, K. (2018). Differential Polarization of Cortical Pyramidal Neuron Dendrites through Weak Extracellular Fields. Computational Biology, 15

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

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.


Natora, M. and Obermayer, K. (2011). An Unsupervised and Drift-adaptive Spike Detection Algorithm Based on Hybrid Blind Beamforming. EURASIP J. Adv. Signal Processing 2011, 2011

Hoch, T., Volgushev, S., Malyshev, A., Obermayer, K. and Volgushev, M. (2011). Modulation of the Amplitude of γ-Band Activity by Stimulus Phase Enhances Signal Encoding. European Journal of Neuroscience, 33, 1223-1239.

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.

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.


Holca-Lamarre, R., Luecke, J. and Obermayer, K. (2017). Acetylcholine and Dopamine Signals Differentially Improve Sensory Representations in a Neural Network Model. Front. Comput. Neurosci., 11

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