- Faculty members | Module IV
Neuroimaging Physics and Signal Processing
One main research topic of our department is (neuro-inspired) signal processing for all kinds of applications. This includes especially all applications directly related to a more or less direct information exchange via different types of sensors and actuators with the nervous system (BCI, biofeedback etc.).
Our research topic concerns the investigation of electronic properties of solids with magnetic resonance. We use and advance magnetic resonance techniques to obtain unique insight into the electronic and chemical structure of materials including host-guest interactions.
My research focuses on medical visualization and data analysis: The goal is to make use of all available data to guide reasoning and understanding of the information that is contained inside the data.
biophysical modelling of EEG and MEG | computational modelling of neural networks | reconstruction of fiber connections with diffusion MRI, diffusion tractography, connectivity-based parcellation
My research focuses on the use of magnetoencephalography in cognitive neuroscience with special focus on language processing. Consequently, I am interested in all methodological developments which improve the localization of brain activity in both respects spatial accuracy and temporal evolution.
Our group is engaged in the development of methods for magnetic resonance imaging (MRI) and spectroscopy (MRS) including pulse sequences, RF hardware and image processing.
My research is aimed at investigating longitudinal effects of treatment onto brain function and connectivity in neurodegenerative disease.
We are interested in understanding functional implications of large-scale spatio-temporal neuronal complexity in the human brain.
My research group addresses visual data analysis which includes mathematical data analysis, scientific visualization, information visualization and visual analytics.
Our vision is to develop and apply functional microstructure imaging and in-vivo histology using magnetic resonance imaging (MRI) as novel non-invasive MRI methods to reliably characterize the detailed functional and anatomical microstructure of the human brain.