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Analysis of Neural Data

All Publications

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2013

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 [9]. ,10.1109/IJCNN.2013.6706872


2012

Onken, A., Dragoi, V. and Obermayer, K. (2012). A Maximum Entropy Test for Evaluating Higher-Order Correlations in Spike Counts [10]. PLoS Computational Biology, 8


Seo, S., Mohr, J., Heekeren, H., Heinz, A., Eppinger, B., Li, S. and Obermayer, K. (2012). A voxel selection method for the multivariate analysis of imaging genetics data. [11]. IJCNN. IEEE, 2884-2890.,10.1109/IJCNN.2012.6252766


2011

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


2010

Natora, M., Franke, F. and Obermayer, K. (2010). Spike Detection in Extracellular Recordings by Hybrid Blind Beamforming [13]. 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 4636 – 4641.


Franke, F., Natora, M., Meier, P., Hagen, E., Pettersen, K., Linden, H., Einevoll, G. and Obermayer, K. (2010). An Automated Online Positioning System and Simulation Environment for Multi-Electrodes in Extracellular Recordings [14]. Proceedings of 32nd Annual International Conference of the IEEE EMBS, 593 – 597.,10.1109/IEMBS.2010.5626631


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 [15]. Journal of Computional Neuroscience, 127 – 148.


2009

Onken, A., Grünewälder, S., Munk, M. and Obermayer, K. (2009). Modeling Short-Term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex [16]. Advances in Neural Information Processing Systems 21. MIT Press, 1233 – 1240.,


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 [17]. PLoS Comput. Biol., 5, e1000577.


Onken, A., Grünewälder, S. and Obermayer, K. (2009). Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies [18]. Advances in Neural Information Processing Systems 22. MIT Press, 1383 – 1391.,


Onken, A. and Obermayer, K. (2009). A Frank Mixture Copula Family for Modeling Higher-Order Correlations of Neural Spike Counts [19]. Journal of Physics: Conference Series. IOP.,http://dx.doi.org/10.1088/1742-6596/197/1/012019


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 [20]. Neuroimage, 46, 683 – 691.


Franke, F., Natora, M., Munk, M. and Obermayer, K. (2009). Blind Source Separation of Sparse Overcomplete Mixtures and Application to Neural Recordings [21]. Independent Component Analysis and Signal Separation. Springer Berlin Heidelberg, 459 – 466.,10.1007/978-3-642-00599-2_58


2008

Mohr, J., Seo, S., Puls, I., Heinz, A. and Obermayer, K. (2008). Target Selection: A New Learning Paradigm and its Application to Genetic Association Studies [22]. Proceedings of the ICMLA '08: The Seventh International Conference on Machine Learning and Applications. IEEE, 182 – 187.,10.1109/ICMLA.2008.58


2005

Vollgraf, R., Munk, M. and Obermayer, K. (2005). Spike Sorting of Multi-Site Electrode Recordings [23]. Network - Computation in Neural Systems, 16, 85 – 113.


Gaudnek, M., Hess, A., Obermayer, K., Budinsky, L., Brune, K. and Sibila, M. (2005). Geometric Reconstruction of the Rat Vascular System Imaged by MRA [24]. IEEE International Conference on Image Processing 2005. IEEE, 1278-1281.,10.1109/ICIP.2005.1530296


2004

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 [25]. J. Neurosci. Methods, 134, 45 – 58.


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 [26]. Neuroimage, 23, 1283 – 1298.


2003

Mohr, J., Hess, A., Scholz, M. and Obermayer, K. (2003). Segmentation of 2 1/2 D Brain Image Stacks with Automatic Extraction and Visualization of Functional Information [27]. Proceedings of the IEEE International Conference of Image Processing - ICIP03, 1089 – 1092.,


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 [28]. Neuroimage, 19, 1716 – 1729.


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