Institute of Software Engineering and Theoretical Computer Science
Technical University of Berlin
What’s your elevator pitch?
We want to understand how cortical interneuron circuits support a flexible integration of sensory information in time-varying contexts. To this end, we will harness tools from machine learning to optimise computational circuit models, while incorporating constraints and data from our collaborators Johannes Letzkus, Julia Veit and James Poulet.
It takes the functional power of machine learning down to the level of neural circuits.
After completing my studies in physics, I applied for various PhD positions in the broad domain of theoretical biology. I liked the supervisor in neuroscience the most.
All opinions combined the four of them think that I’m a numbers teaching, article discussing/writing/editing brainy person, who eats cake in an office.
Funded by the Deutsche Forschungsgemeinschaft
(DFG, German Research Foundation)
TRR 384/1 2024, 514483642
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