Publications of Viola Priesemann

Priesemann, V.; Brinkmann, M. M.; Ciesek, S.; Cuschieri, S.; Czypionka, T.; Giordano, G.; Gurdasani, D.; Hanson, C.; Hens, N.; Iftekhar, E. et al.; Kelly-Irving, M.; Klimek, P.; Kretzschmar, M.; Peichl, A.; Perc, M.; Sannino, F.; Schernhammer, E.; Schmidt, A.; Staines, A.; Szczurek, E.: Calling for pan-European commitment for rapid and sustained reduction in SARS-CoV-2 infections. The Lancet 397, pp. 92 - 93 (2021)

Priesemann, V.; Brinkmann, M. M.; Ciesek, S.; Cuschieri, S.; Czypionka, T.; Giordano, G.; Hanson, C.; Hens, N.; Iftekhar, E.; Klimek, P. et al.; Kretzschmar, M.; Peichl, A.; Perc, M.; Sannino, F.; Schernhammer, E.; Schmidt, A.; Staines, A.; Szczurek, E.: Call for a pan-European COVID-19 response must be comprehensive – Authors' reply. The Lancet 397, p. 1541 - 1541 (2021)

Priesemann, V.; Meyer-Hermann, M.; Pigeot, I.; Schöbel, A.: The contribution of epidemiological models to the description of the outbreak of the COVID-19 pandemic - Der Beitrag von epidemiologischen Modellen zur Beschreibung des Ausbruchsgeschehens der COVID-19-Pandemie. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 64, pp. 1058 - 1066 (2021)

Rudelt, L.; González Marx, D.; Wibral, M.; Priesemann, V.: Embedding optimization reveals long-lasting history dependence in neural spiking activity. PLOS Computational Biology 17, e1008927 (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)

Zeraati, R.; Priesemann, V.; Levina, A.: Self-Organization Toward Criticality by Synaptic Plasticity. Frontiers in Physics 9, 619661 (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)

Alwan, N. A.; Burgess, R. A.; Ashworth, S.; Beale, R.; Bhadelia, N.; Bogaert, D.; Dowd, J.; Eckerle, I.; Goldman, L. R.; Greenhalgh, T. et al.; Gurdasani, D.; Hamdy, A.; Hanage, W. P.; Hodcroft, E. B.; Hyde, Z.; Kellam, P.; Kelly-Irving, M.; Krammer, F.; Lipsitch, M.; McNally, A.; McKee, M.; Nouri, A.; Pimenta, D.; Priesemann, V.; Rutter, H.; Silver, J.; Sridhar, D.; Swanton, C.; Walensky, R. P.; Yamey, G.; Ziauddeen, H.: Scientific consensus on the COVID-19 pandemic: we need to act now. The Lancet 396, pp. e71 - e72 (2020)

Cramer, B.; Stöckel, D.; Kreft, M.; Wibral, M.; Schemmel, J.; Meier, K.; Priesemann, V.: Control of criticality and computation in spiking neuromorphic networks with plasticity. Nature Communications 11, 2853 (2020)

de Heuvel, J.; Wilting, J.; Becker, M.; Priesemann, V.; Zierenberg, J.: Characterizing spreading dynamics of subsampled systems with nonstationary external input. Physical Review E 102, 040301 (2020)

Gurdasani, D.; Bear, L.; Bogaert, D.; Burgess, R. A.; Busse, R.; Cacciola, R.; Charpak, Y.; Colbourn, T.; Drury, J.; Friston, K. et al.; Gallo, V.; Goldman, L. R.; Greenhalgh, T.; Hyde, Z.; Kuppalli, K.; Majumder, M. S.; Martin-Moreno, J. M.; McKee, M.; Michie, S.; Mossialos, E.; Nouri, A.; Pagel, C.; Pimenta, D.; Popescu, S.; Priesemann, V.; Rasmussen, A. L.; Reicher, S.; Ricciardi, W.; Rice, K.; Silver, J.; Smith, T. C.; Wenham, C.; West, R.; Yamey, G.; Yates, C.; Ziauddeen, H.: The UK needs a sustainable strategy for COVID-19. The Lancet 396, pp. 1800 - 1801 (2020)

Linden, M.; Mohr, S. B.; Dehning, J.; Mohring, J.; Meyer-Hermann, M.; Pigeot, I.; Schöbel, A.; Priesemann, V.: Case Numbers Beyond Contact Tracing Capacity Are Endangering the Containment of COVID-19. Deutsches Ärzteblatt International 117, pp. 790 - 791 (2020)

Zierenberg, J.; Wilting, J.; Priesemann, V.; Levina, A.: Description of spreading dynamics by microscopic network models and macroscopic branching processes can differ due to coalescence. Physical Review E 101 (2), 022301 (2020)

Zierenberg, J.; Wilting, J.; Priesemann, V.; Levina, A.: Tailored ensembles of neural networks optimize sensitivity to stimulus statistics. Physical Review Research 2, 013115 (2020)

Wilting, J.; Priesemann, V.: 25 years of criticality in neuroscience - established results, open controversies, novel concepts. Current Opinion in Neurobiology 58, pp. 105 - 111 (2019)

Wilting, J.; Priesemann, V.: Between perfectly critical and fully irregular: A reverberating model captures and predicts cortical spike propagation. Cerebral Cortex 29 (6), pp. 2759 - 2770 (2019)

Datseris, G.; Ziereis, A.; Albrecht, T.; Hagmayer, Y.; Priesemann, V.; Geisel, T.: Microtiming deviations and swing feel in jazz. Scientific Reports 9, 19824 (2019)

Wilting, J.; Dehning, J.; Pinheiro Neto, J.; Rudelt, L.; Wibral, M.; Zierenberg, J.; Priesemann, V.: Operating in a reverberating regime enables rapid tuning of network states to task requirements. Frontiers in Systems Neuroscience 12, 55 (2018)

Zierenberg, J.; Wilting, J.; Priesemann, V.: Homeostatic plasticity and external input shape neural network dynamics. Physical Review X 8 (3), 031018 (2018)

Wilting, J.; Priesemann, V.: Inferring collective dynamical states from widely unobserved systems. Nature Communications 9, 2325 (2018)