Neuronal reconstructions;
Morphological modelling;
Compartmental modelling;
Network modelling

Cuntz H, Bird AD, Mittag M, Beining M, Schneider M, Mediavilla L, Hoffmann FZ, Deller T*, Jedlicka P* (2021). A general principle of dendritic constancy: A neuron’s size- and shape-invariant excitability. Neuron. https://doi.org/10.1016/j.neuron.2021.08.028

Ferreira Castro A, Baltruschat L, Stürner T, Bahrami A, Jedlicka P, Tavosanis G*, Cuntz H* (2020). Achieving functional neuronal dendrite structure through sequential stochastic growth and retraction. eLife 9, e60920. https://doi.org/10.7554/eLife.60920

Beining M, Mongiat LA, Schwarzacher SW, Cuntz H*, Jedlicka P* (2017). T2N as a new tool for robust electrophysiological modeling demonstrated for mature and adult-born dentate granule cells. eLife e26517. https://doi.org/10.7554/eLife.26517

Weigand M, Sartori F, Cuntz H (2017). Universal transition from unstructured to structured neural maps. PNAS 114(20), E4057-E4064. https://doi.org/10.1073/pnas.1616163114

Cuntz H, Forstner F, Borst A, Häusser M (2010). One rule to grow them all: A general theory of neuronal branching and its practical application. PLoS Computational Biology 6(8), e1000877. https://doi.org/10.1371/journal.pcbi.1000877

(* equal contribution.)