Hermann Cuntz, Ph.D.
Affiliations: | Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society |
Area:
Computational Neuroscience, DendritesWebsite:
http://www.treestoolbox.org/hermann/index.htmlGoogle:
"Hermann Cuntz"Mean distance: 13.38 (cluster 6) | S | N | B | C | P |
Parents
Sign in to add mentor| Alexander Borst | grad student | MPI Martinsried | |
| Michael Häusser | post-doc | UCL | |
| Idan Segev | post-doc | Hebrew University |
Children
Sign in to add trainee| Christian Ebner | research assistant | 2014- | ESI & FIAS, Frankfurt |
| Marcel Beining | grad student | 2012- | ESI & FIAS, Frankfurt |
| Marvin Weigand | grad student | 2014- | Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society |
| Friedrich Förstner | grad student | 2006-2010 | Max Planck Institute of Neurobiology, Martinsried |
| André Ferreira Castro | grad student | 2015-2020 |
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Publications
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| Hananeia N, Ebner C, Galanis C, et al. (2024) Multi-scale modelling of location- and frequency-dependent synaptic plasticity induced by transcranial magnetic stimulation in the dendrites of pyramidal neurons. Biorxiv : the Preprint Server For Biology |
| Groden M, Moessinger HM, Schaffran B, et al. (2024) A biologically inspired repair mechanism for neuronal reconstructions with a focus on human dendrites. Plos Computational Biology. 20: e1011267 |
| Liao M, Bird AD, Cuntz H, et al. (2023) Topology recapitulates morphogenesis of neuronal dendrites. Cell Reports. 42: 113268 |
| Mittag M, Mediavilla L, Remy S, et al. (2023) Modelling the contributions to hyperexcitability in a mouse model of Alzheimer's disease. The Journal of Physiology |
| Stürner T, Ferreira Castro A, Philipps M, et al. (2022) The branching code: A model of actin-driven dendrite arborization. Cell Reports. 39: 110746 |
| Cuntz H, Bird AD, Mittag M, et al. (2021) A general principle of dendritic constancy: A neuron's size- and shape-invariant excitability. Neuron |
| Bird AD, Jedlicka P, Cuntz H. (2021) Dendritic normalisation improves learning in sparsely connected artificial neural networks. Plos Computational Biology. 17: e1009202 |
| Ferreira Castro A, Baltruschat L, Stürner T, et al. (2020) Achieving functional neuronal dendrite structure through sequential stochastic growth and retraction. Elife. 9 |
| Ebner C, Clopath C, Jedlicka P, et al. (2019) Unifying Long-Term Plasticity Rules for Excitatory Synapses by Modeling Dendrites of Cortical Pyramidal Neurons. Cell Reports. 29: 4295-4307.e6 |
| Groden M, Weigand M, Triesch J, et al. (2019) A Model of Brain Folding Based on Strong Local and Weak Long-Range Connectivity Requirements. Cerebral Cortex (New York, N.Y. : 1991) |