May 2019 - Tübinger Fenster der Forschung (TUEFF)
Our “Touch a Brain” demonstration in collaboration with Baylor College of Medicine enjoyed great popularity.
April 2019 - Workshop Deep Learning In Computational Neuroscience
Our workshop organized together with A. Ecker got selected at the Bernstein Conference 2019
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 will are based at 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.
- Tolias Lab (Baylor College of Medicine, Rice University)
- Alex Ecker (Bethge Lab) (University Tübingen)
- Jan Grewe (Neuroethology) (University Tübingen)
- Xaq Pitkow (Baylor College of Medicine, Rice University)
- Aristides Arrenberg (University Tübingen)