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TU Berlin

Inhalt des Dokuments

Analyse neuronaler Daten

Konferenzpublikationen

2013


2012

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.. IJCNN. IEEE, 2884-2890.

Link zur Originalpublikation

2010

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

Link zur Publikation Link zur Originalpublikation

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. Proceedings of 32nd Annual International Conference of the IEEE EMBS, 593 – 597.

Link zur Publikation Link zur Originalpublikation

2009

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

Link zur Publikation

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

Link zur Publikation

Onken, A. and Obermayer, K. (2009). A Frank Mixture Copula Family for Modeling Higher-Order Correlations of Neural Spike Counts. Journal of Physics: Conference Series. IOP.

Link zur Publikation

Franke, F., Natora, M., Munk, M. and Obermayer, K. (2009). Blind Source Separation of Sparse Overcomplete Mixtures and Application to Neural Recordings. Independent Component Analysis and Signal Separation. Springer Berlin Heidelberg, 459 – 466.

Link zur Publikation

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. Proceedings of the ICMLA '08: The Seventh International Conference on Machine Learning and Applications. IEEE, 182 – 187.

Link zur Originalpublikation

2005

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

Link zur Originalpublikation

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. Proceedings of the IEEE International Conference of Image Processing - ICIP03, 1089 – 1092.


2002

Vollgraf, R. and Obermayer, K. (2002). Multi Dimensional ICA to Separate Correlated Sources. Advances in Neural Information Processing Systems 14. MIT Press, 993 – 1000.

Link zur Publikation Link zur Originalpublikation

2001

Pielot, R., Scholz, M., Obermayer, K., Gundelfinger, E. and Hess, A. (2001). 3D Edge Detection to Define Landmarks for Point-based Warping in Brain Imaging. International Conference on Image Processing - ICIP01. IEEE, 343 – 346.

Link zur Originalpublikation

Dima, A., Scholz, M. and Obermayer, K. (2001). From Multiscale Edges to 3D-Graph Representations of Nerve Cells from Confocal Microscope Scans. Proceedings of the International Conference of Computational Harmonic Analysis, 9 – 10.

Link zur Publikation

2000

Pielot, R., Scholz, M., Obermayer, K., Gundelfinger, E. and Hess, A. (2000). A New Approach to Define Landmarks for Point-Based Warping in Brain Imaging. Bildverarbeitung für die Medizin. Springer-Verlag Heidelberg, 28 – 32.

Link zur Publikation Link zur Originalpublikation

Pielot, R., Scholz, M., Obermayer, K., Gundelfinger, E. and Hess, A. (2000). Point-Based Warping with Optimized Weighting Factors of Displacement Vectors.. Medical Imaging 2000, 1387 – 1395.

Link zur Publikation

Pielot, R., Scholz, M., Obermayer, K., Gundelfinger, E. and Hess, A. (2000). Warping with Optimized Weighting Factors of Displacement Vectors - A New Method to Reduce Inter-Individual Variations in Brain Imaging. 4th IEEE Southwest Symposium on Image Analysis and Interpretation. IEEE, 264 – 268.

Link zur Publikation

Schöner, H., Stetter, M., Schießl, I., Mayhew, J., Lund, J., McLoughlin, N. and Obermayer, K. (2000). Application of Blind Separation of Sources to Optical Recording of Brain Activity. Advances in Neural Information Processing Systems 12. MIT Press, 949 – 955.

Link zur Publikation

Schießl, I., Schöner, H., Stetter, M., Dima, A. and Obermayer, K. (2000). Regularized Second Order Source Separation. Int. Workshop on Independent Component Analysis and Blind Signal Separation, 111 – 116.

Link zur Publikation

Schießl, I., Stetter, M., Mayhew, J., McLoughlin, N., Lund, J. and Obermayer, K. (2000). Blind Signal Separation from Optical Imaging Data. Mustererkennung 2000, DAGM-Symposium, 91 – 98.


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