Main Objectives

The team aims to understand the dynamics of neural systems and develops methods to invent monitoring and neuromimetic devices. The approach is inspired by systems neuroscience, which relates microscopic modifications in neural systems to macroscopic changes in behavior. The team will extend this systems neuroscience approach and aims to develop models and data analysis tools bridging the gap between microscopic and mesoscopic, and mesoscopic and behavior activity. These bridges between multiple scales are necessary to better understand neural systems and, in turn, control the neural system. They also may allow to develop neuro-inspired robots utilizing the derived principles. As a long- term aim, the team shall develop such devices in medicine. More specifically, our research focusses on various aspects of general anaesthesia, such as understanding loss of consciousness, the origin of impairment of memory formation and motor activity as well as pain suppression. Most of our corresponding work combine theoretical work with analysis of experimental data.


Bottom-up and Top-down approaches

The project aims to bridge the different description levels of neural systems by a mathematical analysis to finally explain features in medical applications (arrows point up). In turn, the comparison of mathematical models on a certain description level to experimental data indicate underlying dynamics at lower description levels (arrows point down). Right: the project also analyzes experimental data and extracts signal features from them to reveal elementary neural processes. The project aims to link these features to the phenomenology in medical applications.