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
29 July 2021
at Lviv Data Science Summer School
by Edgar Y. Walker
Deep Learning in Neuroscience
06 August 2021
at International Interdisciplinary Computational Cognitive Science Summer School
Transferring inductive biases from brains to machines
Both of our submissions were accepted at NeurIPS 2021:
Shahd’s paper Towards robust vision by multi-task learning on monkey visual cortex got accepted at the Brain2AI ICLR workshop
Fabian accepted a professorship for Machine Learning at the university Göttingen.
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.
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.
Arne and Mohammad got accepted to the interactive track of the NeuroMatch Academy 2020. Congrats!
Our paper Simultaneous spike-time locking to multiple frequencies got accepted to Journal of Neurophysiology. Joint work with Carolin Sachgau, Jörg Henninger, Jan Benda, and Jan Grewe.
- Tolias Lab (Baylor College of Medicine, Rice University)
- Alex Ecker (University Göttingen)
- Katrin Franke (Univeristy Tübingen)
- Thomas Gasser (Hertie Institute for Clinical Brain Science)
- Holger Lerche (Hertie Institute for Clinical Brain Science)
- Hendrikje Nienborg (Centre for Intergrative Neuroscience; University Tübingen)
- Leif Saager (Universitätsmedizin Göttingen)