The Department of Computational Neuroscience is part of the 3rd Physics Institute of the Georg-August-Universität Göttingen and the Bernstein Center for Computational Neuroscience Göttingen. Established by Professor Florentin Wörgötter in 2005, the department brings together a group of like-minded scientists from different backgrounds working together in three areas of research.


If you are interested in lectures or seminars that are offered by our group click here.
Information about bachelor and master theses can be found here.
Students with neuroinformatics specialisation click here.

Adaptive Control Method for Signal Synchronization - ADSYNX Project

The ADSYNX technology provides a fast and adaptive method for the synchronization of different signals (skew compensation) for any electrical or optical system up to the GHz regime.
Find our more: https://adsynx.de

ADOPD Project Page

Our group is involved in the "Adaptive Optical Dendrites" Project of the HORIZON2020 EU-Programme- Head over to the project page to learn more about this project.

ADOPD Project Page


Research is divided into three sub-groups. We are currently involved in these projects:

Computer Vision

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 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.

Neural Computation

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.

Computational Neuroscience Group