Neural Information Processing

At the Institute for Neural Information Processing we are interested in the information processing principles underlying biological systems that perceive, learn and act and to exploit these principles for technical systems.

Our research methods include theoretical analyses and computer simulations in the design of artificial learning systems (machine learning) including experiments with neuromorphic hardware and robots, but also neural and behavioral data analysis of natural learning systems including behavioral experiments with human subjects in virtual reality environments.

The goal of this research is to better understand both biological and artificial intelligence, and where possible to exploit biological information processing principles to improve technical applications.