We investigate signal processing from single neurons to
In particular, we would like to understand how neurons are optimized for their computational task. Therefore, we investigate the relationship between intrinsic neuronal properties and the signaling mechanisms shaped by them, as well as their relevance for network behavior. The aim is to link the molecular level of ion channels to characteristics of neuronal firing, focusing on topics like spike-timing reliability, cell-intrinsic frequency preference, information transfer, and energy efficiency. To identify computational principles, conductance-based and phenomenological models are used in combination with data evaluation techniques. We closely cooperate with experimentalists in order to test theoretical predictions.
We are part of the Institute for Theoretical Biology at Humboldt-Universität zu Berlin and the Bernstein Center for Computational Neuroscience Berlin.
- Science Slam: Fred Roemschied wins the BCCN Science Slam at the “Long Night of the Sciences” (Die Lange Nacht der Wissenschaften) in Berlin - Congratulations! (June 2016).
- Conference Talk: Janina Hesse presents her work on the saddle-node-loop bifurcation and its consequences for neural coding at the 2nd International Conference on Mathematical Neuroscience in Juan les Pins, France (June 2016).
- NEW paper: Katha Wilmes' work on inhibition as a switch of excitatory-synapse plasticity is published in PLoS Computational Neuroscience (March 2016).