Analyse neuronaler Daten

Adiloglu, K. (2009). A Paradigmatic Approach for the Melodic Analysis. Technische Universität Berlin

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

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

Bock, A. (2013). Removal of the Cardiac Cycle Artefact and Subsequent Coupling Analysis between Cortex and Basal Ganglia. Charité Unviersitätsmedizin Berlin

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

Dold, H. (2012). On Modeling Data from Visual Psychophysics. Technische Universität Berlin

Franke, F. (2011). Real-Time Analysis of Extracellular Multielectrode Recordings. Technische Universität Berlin

Grünewälder, S. (2009). Application of Statistical Estimation Theory, Adaptive Sensory Systems and Time Series Processing to Reinforcement Learning. Technische Universität Berlin

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

Höhne, J. (2014). Machine learning techniques for neurotechnology with applications for healthy users and patients. Technische Universität Berlin

Kallerhoff, P. (2009). Processing of expected values in human visual cortex. 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

Kneer, F. (2016). Cortical Spreading Depression in reaction-diffusion models. Technische Universität Berlin

Kodewitz, A. (2013). Methods for Large Volume Image Analysis. Universite d’Evry

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

Ladenbauer, J. (2015). The Collective Dynamics of Adaptive Neurons: Insights from Single Cell and Network Models. Technische Universität Berlin

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

Meyer, R. (2016). Correlations and Coding in Primary Visual Cortex. Technische Universität Berlin

Mohr, J. (2008). Machine Learning Methods for Life Sciences: Intelligent Data Analysis in Bio- and Chemoinformatics. Technische Universität Berlin

Murfi, H. (2010). Machine Learning for Text Indexing: Concept Extraction, Keyword Extraction and Tag Recommendation. Technische Universität Berlin