Publikationen von Viola Priesemann

Zeitschriftenartikel (66)

1.
Zeitschriftenartikel
Wollstadt, P.; Rathbun, D.L.; Usrey, W.M.; Bastos, A.M.; Lindner, M.; Priesemann, V.; Wibral, M.: Information-theoretic analyses of neural data to minimize the effect of researchers’ assumptions in predictive coding studies. PLoS Computational Biology 19 (11), e1011567 (2023)
2.
Zeitschriftenartikel
Contreras, S. A.; Iftekhar, E. N.; Priesemann, V.: From emergency response to long-term management: the many faces of the endemic state of COVID-19. The Lancet Regional Health-Europe 30, 100664 (2023)
3.
Zeitschriftenartikel
Contreras, S. A.; Oróstica, K. Y.; Daza-Sanchez, A.; Wagner, J.; Dönges, P.; Medina-Ortiz, D.; Jara, M.; Verdugo, R.; Conca, C.; Priesemann, V. et al.; Olivera-Nappa, Á.: Model-based assessment of sampling protocols for infectious disease genomic surveillance. Chaos, Solitons & Fractals 167, 113093 (2023)
4.
Zeitschriftenartikel
Cramer, B.; Kreft, M.; Billaudelle, S.; Karasenko, V.; Leibfried, A.; Müller, E.; Spilger, P.; Weis, J.; Schemmel, J.; Muñoz, M. A. et al.; Priesemann, V.; Zierenberg, J.: Autocorrelations from emergent bistability in homeostatic spiking neural networks on neuromorphic hardware. Physical Review Research 5 (3), 033035 (2023)
5.
Zeitschriftenartikel
Davenport, F.; Gallacher, J.; Kourtzi, Z.; Koychev, I.; Matthews, P. M.; Oxtoby, N. P.; Parkes, L. M.; Priesemann, V.; Rowe, J. B.; Smye, S. W. et al.; Zetterberg, H.: Neurodegenerative disease of the brain: a survey of interdisciplinary approaches. Journal of the Royal Society Interface 20 (198), 20220406 (2023)
6.
Zeitschriftenartikel
Dehning, J.; Mohr, S. B.; Contreras, S.; Dönges, P.; Iftekhar, E. N.; Schulz, O.; Bechtle, P.; Priesemann, V.: Impact of the Euro 2020 championship on the spread of COVID-19. Nature Communications 14, 122 (2023)
7.
Zeitschriftenartikel
Ehrlich, D. A.; Schneider, A. C.; Priesemann, V.; Wibral, M.; Makkeh, A.: A Measure of the Complexity of Neural Representations based on Partial Information Decomposition. Transactions on Machine Learning Research 05/2023 (2023)
8.
Zeitschriftenartikel
Kekić, A.; Dehning, J.; Gresele, L.; von Kügelgen, J.; Priesemann, V.; Schölkopf, B.: Evaluating vaccine allocation strategies using simulation-assisted causal modeling. Patterns 4, 100739 (2023)
9.
Zeitschriftenartikel
Mikulasch, F.; Rudelt, L.; Wibral, M.; Priesemann, V.: Where is the error? Hierarchical predictive coding through dendritic error computation. Trends in Neurosciences 46 (1), S. 45 - 59 (2023)
10.
Zeitschriftenartikel
Rowland, J.M.; van der Plas, T.L.; Loidolt, M.; Lees, R.M.; Keeling, J.; Dehning, J.; Akam, T.; Priesemann, V.; Packer, A.M.: Propagation of activity through the cortical hierarchy and perception are determined by neural variability. Nature Neuroscience 26 (9), S. 1584 - 1594 (2023)
11.
Zeitschriftenartikel
Sherratt, K.; Gruson, H.; Grah, R.; Johnson, H.; Niehus, R.; Prasse, B.; Sandmann, F.; Deuschel, J.; Wolffram, D.; Abbott, S. et al.; Ullrich, A.; Gibson, G.; Ray, E. L.; Reich, N. G.; Sheldon, D.; Wang, Y.; Wattanachit, N.; Wang, L.; Trnka, J.; Obozinski, G.; Sun, T.; Thanou, D.; Pottier, L.; Krymova, E.; Meinke, J. H.; Barbarossa, M. V.; Leithauser, N.; Mohring, J.; Schneider, J.; Wlazlo, J.; Fuhrmann, J.; Lange, B.; Rodiah, I.; Baccam, P.; Gurung, H.; Stage, S.; Suchoski, B.; Budzinski, J.; Walraven, R.; Villanueva, I.; Tucek, V.; Smid, M.; Zajicek, M.; Perez Alvarez, C.; Reina, B.; Bosse, N. I.; Meakin, S. R.; Castro, L.; Fairchild, G.; Michaud, I.; Osthus, D.; Alaimo Di Loro, P.; Maruotti, A.; Eclerova, V.; Kraus, A.; Kraus, D.; Pribylova, L.; Dimitris, B.; Li, M. L.; Saksham, S.; Dehning, J.; Mohr, S. B.; Priesemann, V.; Redlarski, G.; Bejar, B.; Ardenghi, G.; Parolini, N.; Ziarelli, G.; Bock, W.; Heyder, S.; Hotz, T.; Singh, D. E.; Guzman-Merino, M.; Aznarte, J. L.; Morina, D.; Alonso, S.; Alvarez, E.; Lopez, D.; Prats, C.; Burgard, J. P.; Rodloff, A.; Zimmermann, T.; Kuhlmann, A.; Zibert, J.; Pennoni, F.; Divino, F.; Catala, M.; Lovison, G.; Giudici, P.; Tarantino, B.; Bartolucci, F.; Jona Lasinio, G.; Mingione, M.; Farcomeni, A.; Srivastava, A.; Montero-Manso, P.; Adiga, A.; Hurt, B.; Lewis, B.; Marathe, M.; Porebski, P.; Venkatramanan, S.; Bartczuk, R. P.; Dreger, F.; Gambin, A.; Gogolewski, K.; Gruziel-Slomka, M.; Krupa, B.; Moszyński, A.; Niedzielewski, K.; Nowosielski, J.; Radwan, M.; Rakowski, F.; Semeniuk, M.; Szczurek, E.; Zielinski, J.; Kisielewski, J.; Pabjan, B.; Holger, K.; Kheifetz, Y.; Scholz, M.; Przemyslaw, B.; Bodych, M.; Filinski, M.; Idzikowski, R.; Krueger, T.; Ozanski, T.; Bracher, J.; Funk, S.: Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations. eLife 12, e81916 (2023)
12.
Zeitschriftenartikel
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)
13.
Zeitschriftenartikel
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)
14.
Zeitschriftenartikel
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)
15.
Zeitschriftenartikel
Contreras, S.; Dehning, J.; Priesemann, V.: Describing a landscape we are yet discovering. AStA Advances in Statistical Analysis (2022)
16.
Zeitschriftenartikel
Contreras, S.; Olivera-Nappa, Á.; Priesemann, V.: Rethinking COVID-19 vaccine allocation: it is time to care about our neighbours. The Lancet Regional Health - Europe 12, 100277 (2022)
17.
Zeitschriftenartikel
Czypionka, T.; Iftekhar, E. N.; Prainsack, B.; Priesemann, V.; Bauer, S.; Calero Valdez, A.; Cuschieri, S.; Glaab, E.; Grill, E.; Krutzinna, J. et al.; Lionis, C.; Machado, H.; Martins, C.; Pavlakis, G. N.; Perc, M.; Petelos, E.; Pickersgill, M.; Skupin, A.; Schernhammer, E.; Szczurek, E.; Tsiodras, S.; Willeit, P.; Wilmes, P.: The benefits, costs and feasibility of a low incidence COVID-19 strategy. The Lancet Regional Health - Europe 13, 100294 (2022)
18.
Zeitschriftenartikel
Dönges, P.; Wagner, J.; Contreras, S.; Iftekhar, E. N.; Bauer, S.; Mohr, S. B.; Dehning, J.; Calero Valdez, A.; Kretzschmar, M.; Mäs, M. et al.; Nagel, K.; Priesemann, V.: Interplay Between Risk Perception, Behavior, and COVID-19 Spread. Frontiers in Physics 10, 842180 (2022)
19.
Zeitschriftenartikel
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)
20.
Zeitschriftenartikel
Levina, A.; Priesemann, V.; Zierenberg, J.: Tackling the subsampling problem to infer collective properties from limited data. Nature Reviews Physics 4, S. 770 - 784 (2022)
Zur Redakteursansicht