To find new solutions to information processing problems inspired by
analogies with nervous systems we perform research in three different flavours:
In close association with neural or behavioral experiments, we seek to
advance the theoretical understanding of nervous function and behavior.
The transfer of ideas to the technological domain is focussed around
the problems of artificial action (e.g, autonomous robotics), artificial
perception (e.g., computer vision), and artificial cognition (e.g., fusion,planning, prediction).
New approaches are assessed by applying them to real-world problems (e.g., driver assistance systems,
biomedical image processing).
At a theoretical level we contribute to the development of new methods
in the relevant mathematical domains of neural network theory, evolutionary algorithms,
and dynamical systems theory.
The chair in Theoretical Biology is organized into a number of autonomous
research group which span a wide range of fields from experimental
neuroscience at one end to applied computer vision and engineering projects
at the other end. Researchers in each group contribute the scientific culture of
their area and help foster an atmosphere of creative interchange between the disciplines.