Analyse neuronaler Daten

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Hoch, T. (2007). Aspects of information processing by individual neurons and populations of neurons. Technische Universität Berlin

Vollgraf, R. (2006). Unsupervised Learning Methods for Statistical Signal Processing. Technische Universität Berlin

Wiesing, P. (2006). The computation of feature selective responses in the primary visual cortex. Technische Universität Berlin

Schwabe, L. (2005). Adaptivity of Sensory Representations in the Adult Visual Cortex. Technische Universität Berlin

Seo, S. (2005). Clustering and Prototype Based Classification. Technische Universität Berlin

Lashin, N. A. M. A. (2005). Restoration Methods For Biomedical Images In Confocal Microscopy. Technische Universität Berlin

Purwins, H. (2005). Profiles of Pitch Classes Circularity of Relative Pitch and Key – Experiments, Models, Computational Music Analysis, and Perspectives. Technische Universität Berlin

Beck, O. (2005). Representation and Adaptation in the Primary Visual Cortex. Technische Universität Berlin

Schöner, H. (2004). Working with Real-World Datasets. Technische Universität Berlin

Wenning, G. (2004). Aspects of Noisy Neural Information Processing. Technische Universität Berlin

Krepki, R. (2004). Brain-Computer Interfaces – Design and Imlementation of an Online BCI System fort he Control in Gaming Application and Virtual Limbs. Technische Universität Berlin

Bartsch, H. (2004). Computational Models of Primary Visual Cortex and the Structure of Natural Images. Technische Universität Berlin

Dima, A. (2003). Computer Aided Image Segmentation and Graph Construction of Nerve Cells from 3D Confocal Microscopy Scans. Technische Universität Berlin

Kim, H.-G. (2002). Background Noise Reduction Based on Diffusive Gain Factors and 1.2 kbit/s Low Bit Rate Speech Coding Using Sectral Vector Quantization of Differential Features. Technische Universität Berlin

Schießl, I. (2001). Blind Source Separation Algorithms for the Analysis of Optical Imaging Experiments. Technical University Berlin, Germany