I am a postdoctoral researcher at Technical University of Munich in the group of Christian Kühn working on dynamical systems and adaptive networks.

I received my Ph.D. from the University of Queensland in mathematical neuroscience and before that, my M.Sc. and B.Sc. from Ludwig-Maximilian-University of Munich in mathematical physics and physics, respectively.

Research Interests

In my research, I am studying epidemic dynamics on multiplex networks. More specifically, I am trying to understand the influence of transport on the epidemic spreading by coupling a transport process with epidemic dynamics in a multiplex network structure. As such, my interests are in adaptive networks, dynamical systems, and probability.


C. Kuehn and J. Mölter. The influence of a transport process on the epidemic threshold. Journal of Mathematical Biology accepted (2022). arXiv:2112.04951 [nlin.AO]

L. Avitan, Z. Pujic, J. Mölter, S. Zhu, B. Sun, and G. J. Goodhill. Spontaneous and evoked activity patterns diverge over development. eLife 10:e61942 (2021). DOI: 10.7554/eLife.61942

L. Avitan, Z. Pujic, J. Mölter, M. McCullough, S. Zhu, B. Sun, A.-E. Myhre, and G. J. Goodhill. Behavioral Signatures of a Developing Neural Code. Current Biology 30 (2020), 3352–3363. DOI: 10.1016/j.cub.2020.06.040

J. Mölter and G. J. Goodhill. Limitations to Estimating Mutual Information in Large Neural Populations. Entropy 22:490 (2020). DOI: 10.3390/e22040490

E. Wong, J. Mölter, V. Anggono, S. M. Degnan, and B. M. Degnan. Co-expression of synaptic genes in the sponge Amphimedon queenslandica uncovers ancient neural submodules. Scientific Reports 9:15781 (2019). DOI: 10.1038/s41598-019-51282-x

J. Mölter, L. Avitan, and G. J. Goodhill. Detecting neural assemblies in calcium imaging data. BMC Biology 16:143 (2018). DOI: 10.1186/s12915-018-0606-4

L. Avitan, Z. Pujic, J. Mölter, M. Van De Poll, B. Sun, H. Teng, R. Amor, E. K. Scott, and G. J. Goodhill. Spontaneous Activity in the Zebrafish Tectum Reorganizes over Development and Is Influenced by Visual Experience. Current Biology 27 (2017), 2407–2419. DOI: 10.1016/j.cub.2017.06.056

J. Mölter, T. Barthel, U. Schollwöck, and V. Alba. Bound states and entanglement in the excited states of quantum spin chains. Journal of Statistical Mechanics: Theory and Experiment 2014:P10029 (2014). DOI: 10.1088/1742-5468/2014/10/P10029


J. Mölter. Information processing in the developing zebrafish brain. Queensland Brain Institute, The University of Queensland (2020). DOI: 10.14264/uql.2020.923

J. Mölter. On Anderson Orthogonality within the interacting and non-interacting Luttinger-Sy model. Department of Mathematics, Ludwig Maximilian University Munich (2016).

J. Mölter. Quantum entanglement of anti-ferromagnetic isotropic Heisenberg spin chains: Bethe ansatz treatment. Faculty of Physics, Ludwig Maximilian University Munich (2013).