About us

Responsive image Despite huge advances in artificial intelligence (AI), the mammalian brain is still unrivaled in terms of sustainability and speed of learning, and robustness in inference. One central goal of AI research is to build intelligent systems that exceed the capabilities of biological brains. However, to date we know very little about how computations in neuronal circuits give rise to biological intelligence.

Our group uses AI both as a testbed and a tool on large scale neuro-physiological and -anatomical data to better understand the constituent elements of neuronal intelligence. We are inspired by the idea that a deeper understanding of computational motifs in cortical circuits can help build the next generation of intelligent systems.

We are based at the University Göttingen and the University Tübingen as part of the Cybervalley initiative. We closely collaborate with experimental and computational neuroscientists to develop new tools and experimental paradigms to discover principles of biological intelligence.


News

December 2024

Fabian received a Consolidator Grant by the European Research Council. We are very happy about this and looking forward to exciting research and great collaborations.
November 2024

Pawel successfully defended his thesis. Congratulations Dr. Pierzchlewicz!
October 2024

On Monday, Konstantin successfully defended his thesis. Congratulations Dr. Lurz!
September 2024

An article about our research to reconstruct lung conductivities from EIT measurements has appeared in the ti-Magazin (in German; DOI: doi.org/10.60479/H0KE-V246).
February 2024

On Tuesday, Mohammad successfully defended his thesis. Congratulations Dr. Bashiri!

Collaborators

Affiliations

sinzlab    sinzlab   

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