About us
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.
Upcoming Talks and Presentations
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09 June 2022
at Neurizons - University Göttingen
by Fabian
Panel Discussion - Are we smart enough to understand our brains? |
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11 July 2022
at Mindtalks - University Bremen
by Fabian
Exploring the brain with functional digital twins |
News
| June 2022 | We run a prediction challenge for mouse primary visual cortex in the NeurIPS competition track. Participate and predict thousands of neurons at sensorium2022.net |
| January 2022 | Arne’s paper Can Functional Transfer Methods Capture Simple Inductive Biases? got accepted at AISTATS 2022 |
| September 2021 | Both of our submissions were accepted at NeurIPS 2021: |
| March 2021 | Shahd’s paper Towards robust vision by multi-task learning on monkey visual cortex got accepted at the Brain2AI ICLR workshop |
| March 2021 | Fabian accepted a professorship for Machine Learning at the university Göttingen. |
| January 2021 | Our paper Generalization in data-driven models of primary visual cortex got accepted to ICLR 2021 as spotlight presentation. Joint work with the labs of Alex Ecker and Andreas Tolias. |
| October 2020 | Our paper Factorized Neural Processes for Neural Processes: K-Shot Prediction of Neural Responses got accepted to NeurIPS 2020. Joint work with James R. Cotton and Andreas Tolias. |
Collaborators
- Tolias Lab (Baylor College of Medicine, Rice University)
- Alex Ecker (University Göttingen)
- Katrin Franke (University Tübingen)
- Kathrin Brockmann (University Tübingen)
- Leif Saager (Universitätsmedizin Göttingen)
- Günther Hahn (Universitätsmedizin Göttingen)
- Alexander Gail (Deutsches Primatenzentrum Göttingen)
Affiliations
