Publikationen von F. Paul Spitzner

Yamamoto, H.; Spitzner, F. P.; Takemuro, T.; Buendía, V.; Murota, H.; Morante, C.; Konno, T.; Sato, S.; Hirano-Iwata, A.; Levina, A. et al.; Priesemann, V.; Muñoz, M. A.; Zierenberg, J.; Soriano, J.: Modular architecture facilitates noise-driven control of synchrony in neuronal networks. Science Advances 9 (34), eade175 (2023)

Zierenberg, J.; Spitzner, F. P.; Dehning, J.; Priesemann, V.; Weigel, M.; Wilczek, M.: How contact patterns destabilize and modulate epidemic outbreaks. New Journal of Physics 25, 053033 (2023)

Pinheiro Neto, J.; Spitzner, F. P.; Priesemann, V.: Sampling effects and measurement overlap can bias the inference of neuronal avalanches. PLoS Computational Biology 18 (11), e1010678 (2022)

Leite, K.; Garg, P.; Spitzner, F. P.; Guerin Darvas, S.; Bähr, M.; Priesemann, V.; Kügler, S.: α-Synuclein Impacts on Intrinsic Neuronal Network Activity Through Reduced Levels of Cyclic AMP and Diminished Numbers of Active Presynaptic Terminals. Frontiers in Molecular Neuroscience 15, 868790 (2022)

Contreras, S.; Dehning, J.; Loidolt, M.; Zierenberg, J.; Spitzner, F. P.; Urrea-Quintero, J. H.; Mohr, S. B.; Wilczek, M.; Wibral, M.; Priesemann, V.: The challenges of containing SARS-CoV-2 via test-trace-and-isolate. Nature Communications 12, 378 (2021)

Contreras, S.; Dehning, J.; Mohr, S. B.; Bauer, S.; Spitzner, F. P.; Priesemann, V.: Low case numbers enable long-term stable pandemic control without lockdowns. Science Advances 7, eabg2243 (2021)

Spitzner, F. P.; Dehning, J.; Wilting, J.; Hagemann, A.; Pinheiro Neto, J.; Zierenberg, J.; Priesemann, V.: MR. Estimator, a toolbox to determine intrinsic timescales from subsampled spiking activity. PLOS ONE 16, e0249447 (2021)

Dehning, J.; Zierenberg, J.; Spitzner, F. P.; Wibral, M.; Pinheiro Neto, J.; Wilczek, M.; Priesemann, V.: Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions. Science 369, eabb9789 (2020)