Analyse neuronaler Daten

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.

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.

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.

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.

Pielot, R., Scholz, M., Obermayer, K., Gundelfinger, E. and Hess, A. (1999). Optimiertes Warping durch gewichtete Summen von Verschiebungsvektoren - eine neue Methode zur Reduktion von interindividuellen Variabilitäten von Hirndaten. Bildverarbeitung für die Medizin. Springer-Verlag Heidelberg, 417 – 421.

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.

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.

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.

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.

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.

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.

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.

Schiessl, I., Stetter, M., Mayhew, J., Askew, S., McLoughlin, N., Levitt, J., Lund, J. and Obermayer, K. (1999). Blind Separation of Spatial Signal Patterns from Optical Imaging Records. ICA99 - International workshop on Idependent Component Analysis and Blind Source Separation, 179 – 184.

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.

Proepper, R., Munk, M. and Obermayer, K. (2013). Memory load modulates spiking activity in prefrontal cortex.

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

Vollgraf, R., Stetter, M. and Obermayer, K. (2000). Convolutive Decorrelation Procedures for Blind Source Separation. Int. Workshop on Independent Component Analysis and Blind Signal Separation, 515 – 520.

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.

Dima, A., Scholz, M. and Obermayer, K. (1999). Semi-Automatic Quality Determination of 3D Confocal Microscope Scans of Neuronal Cells Denoised by 3D-Wavelet Shrinkage. Wavelet Applications VI - Proceedings of the SPIE, 446 – 457.

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.