Research Groups

Autonomous Learning

We work on developing neural-dynamic architectures, in which learning, adaptation, and developmental processes co-occur with behavioral dynamics.


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Autonomous Robotics

Our research in autonomous robotics is organized around the problems posed by robotic assistants, that is, partially autonomous robot systems that interact with human operators with whom they share a natural environment.


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Neural Plasticity Lab

Neuroplasticity describes the brain's ability to adapt to new experiences and boundary conditions over the entire lifespan. The Neural Plasticity Lab is working on issues of functional, integrative and cognitive neuroscience with an emphasis on cortical plasticity, learning and aging.


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Optical Imaging Group

Our research focuses on understanding visual information processing in the brain. We investigate how manifold parameters given in natural visual sceneries are represented in real-time across large neuronal populations using voltage-sensitive dye imaging (VSDI).


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Optimization of Adaptive Systems

The optimization of adaptive systems workgroup is concerned with the design and analysis of adaptive information processing systems. We are interested in systems that improve over time through learning, self-adaptation, and evolution. Our systems improve autonomously based on data, in contrast to manual instruction or programming.


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Organic Computing

We do research on self-organizing systems in computer vision, control, and machine learning.


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Real-Time Computer Vision

Dealing with the topic of efficient computer vision, our group has a long and successful history at the chair. Our current focus lies on the technologies for driver assistance systems, which represent an important and challenging field of application. These intelligent systems analyse the vehicle´s environment via different types of sensors, for instance video and radar, thus, increasing safety and comfort for the driver.


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Theory of Embodied Cognition

The goal of this group is to lay the foundations for a theory of embodied cognition through a number of exemplary studies. These are chosen so as to provide access to important basic properties of embodied cognitive systems, as well as to be open to experiment and modeling. The basic theoretical tools are attractor dynamics and dynamic field theory.


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Theory of Neural Systems

This group focuses on principles of self-organization in neural systems, mainly the visual system and the hippocampus. It also has a side track in signal processing and machine learning, e.g. restricted Boltzmann machines.


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