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TU Berlin

Inhalt des Dokuments

Analysis of Neural Data

Journal Publications


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


Vollgraf, R., Munk, M. and Obermayer, K. (2005). Spike Sorting of Multi-Site Electrode Recordings. Network - Computation in Neural Systems, 16, 85 – 113.


Tobia, M. J., Guo, R., Schwarze, U., Böhmer, W., Gläscher, J., Finckh, B., Marschner, A., Büchel, C., Obermayer, K. and Sommer, T. (2014). Counterfactual Q-learning in a Strategic Sequential Investment Task: Serotonergic and Dopaminergic Involvement in the Medial Prefrontal Cortex and Striatum. Neuroimage

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.


Stetter, M., Greve, H., Galizia, C. and Obermayer, K. (2001). Analysis of Calcium Imaging Signals from the Honeybee Brain by Nonlinear Models. Neuroimage, 13, 119 – 128.

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.

Stetter, M., Schießl, I., Otto, T., Sengpiel, F., Hübener, M., Bonhoeffer, T. and Obermayer, K. (2000). Principal Component Analysis and Blind Separation of Sources for Optical Imaging of Intrinsic Signals. Neuroimage, 11, 482 – 490.

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.

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.

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.

Schießl, I., Stetter, M., Mayhew, J., McLoughlin, N., Lund, J. and Obermayer, K. (2000). Blind Signal Separation from Optical Imaging Recordings with Extended Spatial Decorrelation. IEEE Transactions on Biomedical Engineering, 47, 573 – 577.


Puls, I., Mohr, J., Wrase, J., Vollstaedt-Klein, S., Lemenager, T., Vollmert, C., Rapp, M., Obermayer, K., Heinz, A. and Smolka, M. (2009). A Model Comparison of COMT Effects on Central Processing of Affective Stimuli. Neuroimage, 46, 683 – 691.

Pröpper, R. and Obermayer, K. (2013). Spyke Viewer: a flexible and extensible platform for electrophysiological data analysis. Frontiers in Neuroinformatics, 7, 1–10.

Pielot, R., Scholz, M., Obermayer, K., Scheich, H., Gundelfinger, E. and Hess, A. (2003). A New Point-Based Warping Method for Enhanced and Simplified Analysis of Functional Brain Image Data. Neuroimage, 19, 1716 – 1729.


Onken, A., Dragoi, V. and Obermayer, K. (2012). A Maximum Entropy Test for Evaluating Higher-Order Correlations in Spike Counts. PLoS Computational Biology, 8

Onken, A., Grünewälder, S., Munk, M. and Obermayer, K. (2009). Analyzing Short-Term Noise Dependencies of Spike-Counts in Macaque Prefrontal Cortex Using Copulas and the Flashlight Transformation. PLoS Comput. Biol., 5, e1000577.


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


Müller, T., Stetter, M., Hübener, M., Gödecke, I., Chapman, B., Löwel, S., Sengpiel, F., Bonhoeffer, T. and Obermayer, K. (2000). An Analysis of Orientation and Ocular Dominance Patterns in the Visual Cortex of Cats and Ferrets. Neural Computation, 12, 2573 – 2596.

Mohr, J., Seyfarth, J., Lueschow, A., Weber, J. E., Wichman, F. A. and Obermayer, K. (2016). BOiS - Berlin Object in Scene Database: Controlled Photographic Images for Visual Search Experiments with Quantified Contextual Priors. Frontiers in Psychology, 7

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