Dr. Ingo R. Keck, Dipl.-Phys.

Courses

WS 2012/13

SS 2012

WS 2011/12

Research focus

• Machine Learning and Computational Intelligence
• Fibertracking and diffusion imaging
• Explorative data analysis with ICA, NMF, NTF
• Dynamic Causal Modelling
• Neurocomputation

Current projects

• Population Receptive Field Toolbox for SPM and PsychoToolbox
• SVM Toolbox for SPM
• Latent Variable and Fusion Toolbox (LaVaFOX) for SPM
• fMRI Eyetracking without eyetracker

Recent projects

• Modell Free Toolbox for SPM

Journal articels

• Theis, F. J., Gruber, P., Keck, I. R., & Lang, E. W. (2008). A robust model for spatiotemporal dependencies. Neurocomputing, 71(10-12), 2209-2216. doi:10.1016/j.neucom.2007.06.012
• Schmult, S., Keck, I., Herrle, T., Wegscheider, W., Mayer, A. P., Bichler, M., Schuh, D., & Abstreiter, G. (2004). Mid infrared emission of quantum wire cascade structures. Physica E: Low-dimensional Systems & Nanostructures, 21(2-4), 223-229. doi:10.1016/j.physe.2003.11.004
• Schmult, S., Keck, I., Herrle, T., Wegscheider, W., Bichler, M., Schuh, D., & Abstreiter, G. (2003). Field-effect-induced midinfrared electroluminescence of a quantum-wire-cascade structure by remote delta-doping. Applied Physics Letters, 83(10), 1909-1911. doi:10.1063/1.1609041
• Keck, I., Schmult, S., Wegscheider, W., Rother, M., & Mayer, A. P. (2003). Quantum wire intersubband emitter. Physical Review B, 67(12), doi:10.1103/PhysRevB.67.125312

Conference contributions

Conference papers (selected)

• Keck, I. R., Fischer, V., Tome, A. M., & Lang, E. W. (2010). Spatiotemporal ICA applied to retinotopic fMRI data. In Proceedings of the Annual International Conference of the Engineering in Medicine and Biology Society (EMBC) (pp. 1914-1917). doi:10.1109/IEMBS.2010.5627291
• Kodewitz, A., Keck, I. R., Tome, A. M., & Lang, E. W. (2010). Exploratory Matrix Factorization for PET Image Analysis. In Proceedings of the Annual International Conference of the Engineering in Medicine and Biology Society (EMBC) (pp. 6118-6121). doi:10.1109/IEMBS.2010.5627804
• Faltermeier, R., Zeiler, A., Keck, I. R., Tome, A. M., Brawanski, A., & Lang, E. W. (2010). Sliding Empirical Mode Decomposition. In Neural Networks 2010, Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN). doi:10.1109/IJCNN.2010.5596536
• Meyer-Baese, A., Lespinats, S., Keck, I. R., & Lang, E. (2010). Robust stability analysis of Linsker-Type Hebbian learning multi-time scale neural networks under parametric uncertainties. In Neural Networks 2010, Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN). doi:10.1109/IJCNN.2010.5596826
• Zeiler, A., Faltermeier, R., Keck, I. R., Tomé, A. M., Brawanski, A., Puntonet, C. G., & Lang, E. W. (2010). Empirical Mode Decomposition - an introduction. In Neural Networks 2010, Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN). doi:10.1109/IJCNN.2010.5596829
• Zeiler, A., Faltermeier, R., Keck, I. R., Tomé, A. M., Brawanski, A., Puntonet, C. G., & Lang, E. W. (2010). Brain status data analyzed by Empirical Mode Decomposition. In Neural Networks 2010, Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN). doi:10.1109/IJCNN.2010.5596533
• Segovia, F., Gorriz, J. M., Ramirez, J., Salas-Gonzalez, D., Illan, I. A., Lopez, M., Chaves, R., Puntonet, C. G., Lang, E. W., & Keck, I. R. (2009). In Proceddings of the Nuclear Science Symposium Conference Record (NSS/MIC) (pp. 3399-3403). doi:10.1109/NSSMIC.2009.5401767
• Kohler, C., Keck, I., Gruber, P., Lie, C.-H., Specht, K., Schmitz, G., & Lang, E. W. (2008). Spatiotemporal group ICA applied to fMRI datasets. In Proceedings of the 30th Annual International IEEE EMBC Conference. (pp. 4652-4655). doi:10.1109/IEMBS.2008.4650250
• Nassabay, S., Keck, I. R., Puntonet, C. G., Clemente, R. M., & Lang, E. W. (2007). Automatic Detection of Filters in Images with Gaussian Noise Using Independent Component Analysis. In F. Sandoval, A. Prieto, J. Cabestany & M. Grana (Eds.), Computational and Ambient Intelligence, Lecture Notes in Computer Science, 4507 (pp. 692-699). Berlin/Heidelberg, Germany: Springer Verlag. doi:10.1007/978-3-540-73007-1
• Nassabay, S., Keck, I. R., Puntonet, C. G., Clemente, R. M., Gorriz, J. M., & Inestrosa, J. P. (2007) Noisy image processing using the independent component analysis algorithm amuse. In Proceedings of the Third International Workshop on Artificial Neural Networks and Intelligent Information Processing (ANNIIP-ICINCO) (pp. 83-90).
• Keck, I. R., Churan, J., Thesi, F. J., Gruber, P., Lang, E. W., & Puntonet, C. G. (2006). Region of Interest Based Independent Component Analysis. In I. King, J. Wang, L. Chan & D. Wang (Eds.), Neural Information Processing, Lecture Notes in Computer Science, 4232 (pp. 1048-1057). Berlin/Heidelberg, Germany: Springer Verlag. doi:10.1007/11893028
• Keck, I. R., Theis, F. J., Gruber, P., Lang, E. W., Churan, J., & Puntonet, C. G. (2006). Model-free region of interest based analysis of fmri data. In Proceedings of the Electrotechnical Conference MELECON (pp. 478–481). doi:10.1109/MELCON.2006.1653142
• Theis, F. J., Gruber, P., Keck, I. R., Meyer-Bäse, A., & Lang, E. W. (2005). Spatiotemporal blind source separation using double-sided approximate joint diagonalization. In Proceedings of the European Signal Processing Conference (EUSIPCO).
• Theis, F. J., Gruber, P., Keck, I. R., & Lang, E. W. (2005). Functional MRI Analysis by a Novel Spatiotemporal ICA Algorithm. In W. Duch, J. Kacprzyk, E. Oja & S. Zadrozny (Eds.), Artificial Neural Networks: Biological Inspirations – ICANN 2005, Lecture Notes in Computer Science, 3696 (pp. 677-682). Berlin/Heidelberg, Germany: Springer Verlag. doi:10.1007/11550822
• Keck, I. R., Theis, F. J., Gruber, P., Lang, E. W., Specht, K., Fink, G., Tomé, A. M., & Puntonet, C. G. (2005). Automated clustering of ICA results for fMRI data analysis. In Proceedings of the 2nd International Conference on Computational Intelligence in Medicine and Healthcare (CIMED) [CD-Rom]. Lissabon, Portugal: IEE Healthcare Technologies
• Theis, F. J., Gruber, P., Keck, I. R., Tomé, A. M., & Lang, E. (2005). A spatiotemporal second-order algorithm for fMRI data analysis. In J. Fonseca (ed.), Proceedings of the 2nd International Conference on Computational Intelligence in Medicine and Healthcare (CIMED) (pp. 194-201) [CD-Rom]. Lissabon, Portugal: IEE Healthcare Technologies
• Keck, I. R., Nassabay, S., Puntonet, C. G., & Lang, E. W. (2005). A New Approach to Clustering and Object Detection with Independent Component Analysis. In J. Mira & J. R. Álvarez (Eds.), Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach, Lecture Notes in Computer Science, 3562 (pp. 193-208). Berlin/Heidelberg, Germany: Springer Verlag. doi:10.1007/11499305_57
• Keck, I. R., Lang, E. W., Nassabay, S., & Puntonet, C. G. (2005). Clustering of Signals Using Incomplete Independent Component Analysis. In J. Cabestany, A. Prieto & F. Sandoval (Eds.), Computational Intelligence and Bioinspired Systems, Lecture Notes in Computer Science, 3512 (pp. 451-455). Berlin/Heidelberg, Germany: Springer Verlag. doi:10.1007/b136983
• Keck, I. R., Theis, F. J., Gruber, P., Lang, E. W., Specht, K., & Puntonet, C. G. (2004). 3D Spatial Analysis of fMRI Data on a Word Perception Task. In C. G. Puntonet & A. Prieto (Eds.), Independent Component Analysis and Blind Signal Separation, Lecture Notes in Computer Science, 3195 (pp. 977-984). Berlin/Heidelberg, Germany: Springer Verlag. doi:10.1007/b100528
• Keck, I. R., Theis, F. J., Gruber, P., Lang, E., Specht, K., & Puntonet, C. G. (2004) 3D Spatial Analysis of fMRI Data - a Comparison of ICA and GLM Analysis on a Word Perception Task. In Neural Networks, Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN) (pp. 2495-2499). doi:10.1109/IJCNN.2004.1381024

Posters (selected)

• Stemme, A., Rosengarth, K., Keck, I., Deco, G., Greenlee, M., & Lang, E. (2010, Jun). The role of attention and feedback in perceptual learning. 16th Annual Meeting of the Organization for Human Brain Mapping (HBM), Barcelona, Spain.
• Goldhacker, M., Keck, I. R., & Lang, E. W. (2009, Sep). Using ICA to estimate changes in the activation between different sessions of a fMRI experiment. 5th Bernstein Conference on Computational Neuroscience (BCCN), Frankfurt am Main, Germany.
• Keck, I. R., Fischer, V., & Lang, E. W. (2009, Aug). Direct estimation of the point of gaze from fMRI data. 32nd European Conference on Visual Perception (ECVP), Regensburg, Germany. Published abstract in Perception, 38(Supplement), 169.
• Goldhacker, M., Keck, I. R., Fischer, V., & Lang, E. W. (2009, Aug). A comparison of different ICA algorithms on a retinotopy fMRI data-set. 32nd European Conference on Visual Perception (ECVP), Regensburg, Germany. Published abstract in Perception, 38(Supplement), 122.
• Keck, I. R., Gruber, P., Fischer, V., Theis, F. J., & Lang, E. W. (2008, Sep). A SPM Toolbox For Model-Free fMRI Data Analysis. 10th International Conference on Cognitive Neuroscience, Bodrum, Turkey.