Understanding biological and artificial neural networks


Our research agenda lies at the interface between artificial intelligence and neuroscience. The brain is an organ that has specialized to address the need for computation. Therefore, we emphasize the importance of computation and algorithms to explain behavioral patterns by the underlying neural processes:

For solving computationally demanding tasks such as object recognition complex neural networks have developed in the brain that perform surprisingly well. Our goal is to understand the distributed computations and neuro-computational principles underlying these abilities. That is, we want to explain how characteristic properties of neural systems originate from the computational requirements of specific skills. To this end, we use Machine Learning and Computational Neuroscience methods to study the problem of perceptual inference and its neural basis at different levels:

University of Tuebingen BCCN CIN MPI