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.
News
| January 2023 | Konstantin’s and Mohammad’s paper “Bayesian Oracle for bounding information gain in neural encoding models” was accepted at ICLR 2023. |
| September 2022 | We are very excited that our joint work on feature selectivity and pupil dilation together with the labs of Katrin Franke and Andreas Tolias got pubished in Nature. Check out the twitter feed about the paper here. |
| September 2022 | Funded by the DFG are joining the CRC 1456 Mathematics of Experiment with an exciting project together with the group of Alexander Gail at the German primate center. We are looking forward to a new collaboration. |
| September 2022 | Arne and Mohammad created a series of introductory video tutorials on machine learning. You can check it out on YouTube |
| 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: |
Collaborators
- Tolias Lab (Baylor College of Medicine, Rice University)
- Alex Ecker (University Göttingen)
- Katrin Franke (University Tübingen)
- Kathrin Brockmann (University Tübingen)
- Anne-Christin Hauschild (Universitätsmedizin Göttingen)
- Leif Saager (Universitätsmedizin Göttingen)
- Günther Hahn (Universitätsmedizin Göttingen)
- Alexander Gail (Deutsches Primatenzentrum Göttingen)
Affiliations
