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.


Upcoming Talks and Presentations

logo 29 July 2021 at Lviv Data Science Summer School by Edgar Y. Walker

Deep Learning in Neuroscience

logo 06 August 2021 at International Interdisciplinary Computational Cognitive Science Summer School by Fabian

Transferring inductive biases from brains to machines

News

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.

June 2020

Arne and Mohammad got accepted to the interactive track of the NeuroMatch Academy 2020. Congrats!

April 2020

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.

March 2020

Cathryn Cadwell’s (Tolias lab) paper on “Cell type composition and circuit organization of clonally related excitatory neurons in the juvenile mouse neocortex” got accepted to eLife. Collaboration with Tolias Lab.


Collaborators


Affiliations