We investigate neural processing from single cells to
networks.
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 information transfer, synchronization,
energy efficiency, and temperature robustness. To identify computational principles,
conductance-based and phenomenological models are used in
combination with data evaluation techniques and analytical approaches. We closely
cooperate with experimental groups 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.