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TU Berlin

Inhalt des Dokuments

Journal Publications

Srinivasan, D. and Obermayer, K. (2011). Probabilistic prototype models for attributed graphs. ,




Jain, B. and Obermayer, K. (2010). Accelerating Competetive Learning Graph Quantization. ,



Xie, S., Zhu, F., Obermayer, K., Ritter, P. and Wang, L. (2013). An Efficient Spatial Selective Visual Attention Pattern Recognition Method Based on Joint Short SSVEP. ,10.1109/IJCNN.2013.6706872


A

Neubauer, N. and Obermayer, K. (2009). Hyperincident Connected Components in Tagging Networks. ACM SIGIWEB Newsletter, 229 – 238.


Seo, S., Beck, A., Matthis, C., Genauck, A., Banaschewski, T., Bokde, A., Bromberg, U., Büchel, C., Quinlan, E., Flor, H., Frouin, V., Garavan, H., Gowland, P., Ittermann, B., Martinot, J., Martinot, M., Nees, F., Orfanos, D., Poustka, L., Hohmann, S., Froehner, J., Smolka, M., Walter, H., Whelan, R., Desrivieres, S., Heinz, A., Schumann, G. and Obermayer, K. (2019). Risk Profiles for Heavy Drinking in Adolescence: Differential Effects of Gender. Addiction Biology, 24, 787-801.


Seo, S., Mohr, J., Beck, A., Wüstenberg, T., Heinz, A. and Obermayer, K. (2015). Predicting the future relapse of alcohol-dependent patients from structural and functional brain images. Addiction Biology, 20, 1042-1055.


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.


B

Obermayer, K., Sejnowski, T. and Blasdel, G. (1995). Neural Pattern Formation via a Competitive Hebbian Mechanism. Behaviour Brain Research, 66, 151 – 160.


Hochreiter, S., Clevert, D.-A. and Obermayer, K. (2006). A New Summarization Method for Affymetrix Probe Level Data. Bioinformatics, 22, 943 – 949.


Hochreiter, S., Heusel, M. and Obermayer, K. (2007). Fast Model-based Protein Homology Detection without Alignment. Bioinformatics, 23, 1728 – 1736.


Piepenbrock, C. and Obermayer, K. (2000). The Effect of Intracortical Competition on the Formation of Topographic Maps in Models of Hebbian Learning. Biological Cybernetics, 82, 345 – 353.


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.


Brunner, K., Kussinger, M., Stetter, M. and E.W., L. (1998). A Neural Network Model for the Emergence of Grating Cells. Biological Cybernetics, 78, 389 – 397.


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.


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