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Inhalt des Dokuments

Analysis of Neural Data

Journal Publications

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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 [6]. ,10.1109/IJCNN.2013.6706872


A

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 [7]. 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 [8]. 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 [9]. Addiction Biology, 18, 883–896.


B

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 [10]. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 1, 401 - 410.


C

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 [11]. Cognitive, Affective, & Behavioral Neuroscience, 457-472.


E

Natora, M. and Obermayer, K. (2011). An Unsupervised and Drift-adaptive Spike Detection Algorithm Based on Hybrid Blind Beamforming [12]. EURASIP J. Adv. Signal Processing 2011, 2011


F

Pröpper, R. and Obermayer, K. (2013). Spyke Viewer: a flexible and extensible platform for electrophysiological data analysis [13]. Frontiers in Neuroinformatics, 7, 1–10.


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 [14]. Frontiers in Psychology, 7


Meyer, R. and Obermayer, K. (2016). pypet: A Python Toolkit for Data Management of Parameter Explorations [15]. Frontiers Neuroinformatics, 10


I

Dima, A., Scholz, M. and Obermayer, K. (2002). Automatic Segmentation and Skeletonization of Neurons from Confocal Microscopy Images based on the 3D Wavelet Transform [16]. IEEE Trans. on Image Proc., 11, 790 – 801.


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 [17]. IEEE Transactions on Biomedical Engineering, 47, 573 – 577.


Dima, A., Scholz, M. and Obermayer, K. (2003). Automatic Segmentation and Skeletonization of Neurons from Confocal Microscopy Images Based on the 3-D Wavelet Transform [18]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 11, 790-801.


J

Mohr, J., Hess, A., Scholz, M. and Obermayer, K. (2004). A Method for the Automatic Segmentation Autoradiographic Image Stacks and Spatial Normalization of Functional Cortical Activity Data [19]. J. Neurosci. Methods, 134, 45 – 58.


Hiesinger, P., Scholz, M., Meinertzhagen, I., Fischbach, K.-F. and Obermayer, K. (2001). Visualization of Synaptic Markers in the Optic Neuropils of Drosophila Using a New Constrained Deconvolution Method [20]. Journal of Comparative Neurology, 429, 277 – 288.


Franke, F., Quiroga, R. Q., Hierlemann, A. and Obermayer, K. (2015). Bayes optimal template matching for spike sorting – combining fisher discriminant analysis with optimal filtering [21]. Journal of Computational Neuroscience, 38, 439-459.


Franke, F., Natora, M., Boucsein, C., Munk, M. and Obermayer, K. (2010). An Online Spike Detection and Spike Classification Algorithm Capable of Instantaneous Resolution of Overlapping Spikes [22]. Journal of Computional Neuroscience, 127 – 148.


Dima, A., Scholz, M. and Obermayer, K. (2003). Automatic 3D-Graph Construction of Nerve Cells from Confocal Microscopy Scans [23]. Journal of Electronic Imaging, 12, 134 – 150.


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 [24]. Journal of Neurophysiology, 114, 2535–2549.


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 [25]. Journal of Neuroscience Methods, 100, 135 – 143.


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