The research of the Computational Neuroscience department focuses on three interconnected areas:
In Neural Control and Robotics sensory-motor control for complex movement generation in closed loop systems is investigated. By relying on different robotic platforms, which in part are developed here, we try to achieve flexible, transferable solutions and a better understanding of the general control and plasticity principles in neural motor function.
In Computer Vision we try to achieve understanding of how human-like manipulations can be recognized, learned, and performed in robotics. This will allow a transfer of the complex movement generation principles to everyday life, where systems nowadays lack adaptivity and generalization.
In Neural Computation complex neural networks and their properties are investigated where we are mainly interested in the interaction between activity and plasticity to allow for a further increase in complexity of the control structures of the closed loop systems.