Publications

Machine Learning

Schmidt M, Simic M (2019) Normalizing flows for novelty detection in industrial time series data, First workshop on Invertible Neural Networks and Normalizing Flows (ICML 2019), Long Beach, CA, USA Workshop link, https://arxiv.org/abs/1906.06904

Jordan J, Schmidt M, Senn W, & Petrovici MA (2021). Evolving interpretable plasticity for spiking networks. eLife 10 https://elifesciences.org/articles/66273 *Jordan J and Schmidt M contributed equally.
Schmidt M, Bakker R, Shen K, Bezgin G, Diesmann M, van Albada SJ (2018) A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas. PLoS Comput Biol 14(10): e1006359. https://doi.org/10.1371/journal.pcbi.1006359
van Albada SJ, Rowley AG, Senk J, Hopkins M, Schmidt M, Stokes AB, Lester DR, Diesmann M, Furber SB. (2018) Performance comparison of the digital neuromorphic hardware SpiNNaker and the neural network simulation software NEST for a full-scale cortical microcircuit model. Frontiers in Neuroscience 12:291, DOI:10.3389/fnins.2018.00291
Schmidt M, Bakker R, Hilgetag C-C, Diesmann M, and van Albada SJ (2017) Multi-scale account of the network structure of macaque visual cortex. Brain Structure and Function (2018) 223: 1409,
https://doi.org/10.1007/s00429-017-1554-4
Schuecker J, Schmidt M, van Albada SJ, Diesmann M, and Helias M. (2017) Fundamental activity constraints lead to specific interpretations of the connectome. PLoS Computational Biology 13(2): e1005179, https://doi.org/10.1371/journal.pcbi.1005179 *Schuecker J and Schmidt M contributed equally.

Kunkel S, Schmidt M, Eppler JM, Plesser HE, Masumoto G, Igarashi J, Ishii S, Fukai T, Morrison A, Diesmann M, and Helias M. (2014) Spiking network simulation code for petascale computers. Frontiers in Neuroinformatics 8:78 https://doi.org/10.3389/fninf.2014.00078
Nowke C, Schmidt M, van Albada SJ, Eppler JM, Bakker R, Diesmann M, Hentschel B and Kuhlen T (2013) \newline VisNEST—Interactive analysis of neural activity data. IEEE Symposium on Biological Data Visualization (BioVis) 2013 (pp. 65-72) https://doi.org/10.1109/BioVis.2013.6664348

Schmidt M, Erne S, Nowak B, Sexty D, and Gasenzer T. (2012) Non-thermal fixed points and solitons in a one-dimensional Bose gas. New Journal of Physics, 14(7), 075005
http://iopscience.iop.org/article/10.1088/1367-2630/14/7/075005/meta

Schmidt M, Schuecker J, van Albada SJ, Diesmann M, Helias M (2017), Stability Confinement of the Brain Connectome. Inside - Innovatives Supercomputing in Deutschland Link
van Albada SJ, Diesmann M, Eppler JM, Hentschel B, Kuhlen T, Nowke C, Reske M, Schmidt M (2014) Modellierung und 3D-Visualisierung neuronaler Netzwerke in der Größenordnung des Gehirns. RWTH Intern