Dr. Viola Priesemann

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  • 2024 | Lecture | 
    ​ ​Lernen in Lebenden Netzwerken​
    Priesemann, V. ​ (2024)
    Herz und Hirn - Gemeinsam im Fokus; 2024-01-30​, Göttingen.
    ​Details 
  • 2023 | Journal Article
    ​ ​Model-based assessment of sampling protocols for infectious disease genomic surveillance​
    Contreras, S.; Oróstica, K. Y.; Daza-Sanchez, A.; Wagner, J.; Dönges, P.; Medina-Ortiz, D. & Jara, M. et al.​ (2023) 
    Chaos, Solitons & Fractals, 167 pp. 113093​.​ DOI: https://doi.org/10.1016/j.chaos.2022.113093 
    ​Details  DOI 
  • 2023 | Journal Article | Overview
    ​ ​Where is the error? Hierarchical predictive coding through dendritic error computation​
    Mikulasch, F. A.; Rudelt, L.; Wibral, M. & Priesemann, V. ​ (2023) 
    Trends in Neurosciences, 46(1) pp. 45​-59​.​ DOI: https://doi.org/10.1016/j.tins.2022.09.007 
    ​Details  DOI  PMID  PMC 
  • 2023 | Journal Article | 
    ​ ​Impact of the Euro 2020 championship on the spread of COVID-19​
    Dehning, J.; Mohr, S. B.; Contreras, S.; Dönges, P.; Iftekhar, E. N.; Schulz, O. & Bechtle, P. et al.​ (2023) 
    Nature Communications, 14(1).​ DOI: https://doi.org/10.1038/s41467-022-35512-x 
    ​Details  DOI 
  • 2023 | Journal Article | Overview
    ​ ​Neurodegenerative disease of the brain: a survey of interdisciplinary approaches​
    Davenport, F.; Gallacher, J.; Kourtzi, Z.; Koychev, I.; Matthews, P. M.; Oxtoby, N. P. & Parkes, L. M. et al.​ (2023) 
    Journal of The Royal Society Interface, 20(198) art. 20220406​.​ DOI: https://doi.org/10.1098/rsif.2022.0406 
    ​Details  DOI  PMID  PMC 
  • 2022 | Journal Article
    ​ ​Visuomotor Mismatch Responses as a Hallmark of Explaining Away in Causal Inference​
    Mikulasch, F. A.; Rudelt, L. & Priesemann, V. ​ (2022) 
    Neural Computation, 35(1) pp. 27​-37​.​ DOI: https://doi.org/10.1162/neco_a_01546 
    ​Details  DOI 
  • 2022 | Journal Article | Research Paper | 
    ​ ​α-Synuclein Impacts on Intrinsic Neuronal Network Activity Through Reduced Levels of Cyclic AMP and Diminished Numbers of Active Presynaptic Terminals​
    Leite, K.; Garg, P.; Spitzner, F. P.; Guerin Darvas, S.; Bähr, M. ; Priesemann, V.   & Kügler, S. ​ (2022) 
    Frontiers in Molecular Neuroscience, 15.​ DOI: https://doi.org/10.3389/fnmol.2022.868790 
    ​Details  DOI  PMID  PMC 
  • 2022 | Journal Article | Research Paper | 
    ​ ​Early lock-in of structured and specialised information flows during neural development​
    Shorten, D. P; Priesemann, V. ; Wibral, M.   & Lizier, J. T​ (2022) 
    eLife, 11.​ DOI: https://doi.org/10.7554/eLife.74651 
    ​Details  DOI 
  • 2022 | Journal Article | Research Paper | 
    ​ ​Interplay Between Risk Perception, Behavior, and COVID-19 Spread​
    Dönges, P.; Wagner, J.; Contreras, S.; Iftekhar, E. N.; Bauer, S.; Mohr, S. B. & Dehning, J. et al.​ (2022) 
    Frontiers in Physics, 10.​ DOI: https://doi.org/10.3389/fphy.2022.842180 
    ​Details  DOI 
  • 2022 | Journal Article
    ​ ​The benefits, costs and feasibility of a low incidence COVID-19 strategy​
    Czypionka, T.; Iftekhar, E. N.; Prainsack, B.; Priesemann, V. ; Bauer, S.; Calero Valdez, A. & Cuschieri, S. et al.​ (2022) 
    The Lancet: Regional Health. Europe, 13 art. 100294​.​ DOI: https://doi.org/10.1016/j.lanepe.2021.100294 
    ​Details  DOI  PMID  PMC 
  • 2022 | Journal Article
    ​ ​Rethinking COVID-19 vaccine allocation: it is time to care about our neighbours​
    Contreras, S.; Olivera-Nappa, Á. & Priesemann, V. ​ (2022) 
    The Lancet: Regional Health. Europe, 12 art. 100277​.​ DOI: https://doi.org/10.1016/j.lanepe.2021.100277 
    ​Details  DOI  PMID  PMC 
  • 2022 | Journal Article | Research Paper
    ​ ​New year, new SARS-CoV-2 variant: Resolutions on genomic surveillance protocols to face Omicron​
    Oróstica, K. Y.; Contreras, S.; Sanchez-Daza, A.; Fernandez, J.; Priesemann, V.   & Olivera-Nappa, Á.​ (2022) 
    The Lancet Regional Health - Americas, 7 art. S2667193X22000205​.​ DOI: https://doi.org/10.1016/j.lana.2022.100203 
    ​Details  DOI 
  • 2022 | Journal Article
    ​ ​Elimination versus mitigation of SARS-CoV-2 in the presence of effective vaccines​
    Oliu-Barton, M.; Pradelski, B. S R; Algan, Y.; Baker, M. G; Binagwaho, A.; Dore, G. J & El-Mohandes, A. et al.​ (2022) 
    The Lancet Global Health, 10(1) pp. e142​-e147​.​ DOI: https://doi.org/10.1016/S2214-109X(21)00494-0 
    ​Details  DOI 
  • 2022 | Preprint
    ​ ​Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations​
    Sherratt, K.; Gruson, H.; Grah, R.; Johnson, H.; Niehus, R.; Prasse, B.& Sandman, F. et al.​ (2022). DOI: https://doi.org/10.1101/2022.06.16.22276024 
    ​Details  DOI 
  • 2022 | Journal Article
    ​ ​Tackling the subsampling problem to infer collective properties from limited data​
    Levina, A.; Priesemann, V.   & Zierenberg, J.​ (2022) 
    Nature Reviews. Physics,.​ DOI: https://doi.org/10.1038/s42254-022-00532-5 
    ​Details  DOI 
  • 2022 | Journal Article | 
    ​ ​Describing a landscape we are yet discovering​
    Contreras, S.; Dehning, J. & Priesemann, V. ​ (2022) 
    AStA Advances in Statistical Analysis,.​ DOI: https://doi.org/10.1007/s10182-022-00449-5 
    ​Details  DOI 
  • 2022 | Journal Article
    ​ ​Sampling effects and measurement overlap can bias the inference of neuronal avalanches​
    Pinheiro Neto, J.; Spitzner, F. P. & Priesemann, V. ​ (2022) 
    PLOS Computational Biology, 18(11) art. e1010678​.​ DOI: https://doi.org/10.1371/journal.pcbi.1010678 
    ​Details  DOI  PMID  PMC 
  • 2021 | Lecture
    ​ ​Die Ausbreitung und Eindämmung von COVID-19​
    Priesemann, V. ​ (2021)
    Künstliche Intelligenz, Data Science und Gesellschaft; 2021-11-23​, Göttingen.
    ​Details 
  • 2021 | Journal Article
    ​ ​Embedding optimization reveals long-lasting history dependence in neural spiking activity​
    Rudelt, L.; González Marx, D.; Wibral, M.   & Priesemann, V. ​ (2021) 
    PLoS Computational Biology, 17(6) pp. e1008927​.​ DOI: https://doi.org/10.1371/journal.pcbi.1008927 
    ​Details  DOI 
  • 2021 | Journal Article
    ​ ​MR. Estimator, a toolbox to determine intrinsic timescales from subsampled spiking activity​
    Spitzner, F. P.; Dehning, J.; Wilting, J.; Hagemann, A.; P. Neto, J.; Zierenberg, J. & Priesemann, V. ​ (2021) 
    PLoS One, 16(4) pp. e0249447​.​ DOI: https://doi.org/10.1371/journal.pone.0249447 
    ​Details  DOI 
  • 2021 | Journal Article
    ​ ​Low case numbers enable long-term stable pandemic control without lockdowns​
    Contreras, S.; Dehning, J.; Mohr, S. B.; Bauer, S.; Spitzner, F. P. & Priesemann, V. ​ (2021) 
    Science Advances, 7(41).​ DOI: https://doi.org/10.1126/sciadv.abg2243 
    ​Details  DOI 
  • 2021 | Journal Article
    ​ ​Relaxing restrictions at the pace of vaccination increases freedom and guards against further COVID-19 waves​
    Bauer, S.; Contreras, S.; Dehning, J.; Linden, M.; Iftekhar, E.; Mohr, S. B. & Olivera-Nappa, A. et al.​ (2021) 
    PLOS Computational Biology, 17(9) pp. e1009288​.​ DOI: https://doi.org/10.1371/journal.pcbi.1009288 
    ​Details  DOI 
  • 2021 | Journal Article
    ​ ​Calling for pan-European commitment for rapid and sustained reduction in SARS-CoV-2 infections​
    Priesemann, V. ; Brinkmann, M. M.; Ciesek, S.; Cuschieri, S.; Czypionka, T.; Giordano, G. & Gurdasani, D. et al.​ (2021) 
    The Lancet, 397(10269) pp. 92​-93​.​ DOI: https://doi.org/10.1016/S0140-6736(20)32625-8 
    ​Details  DOI 
  • 2021 | Journal Article
    ​ ​Towards a European strategy to address the COVID-19 pandemic​
    Priesemann, V. ; Balling, R.; Bauer, S.; Beutels, P.; Valdez, A. C.; Cuschieri, S. & Czypionka, T. et al.​ (2021) 
    The Lancet, 398(10303) pp. 838​-839​.​ DOI: https://doi.org/10.1016/S0140-6736(21)01808-0 
    ​Details  DOI 
  • 2021 | Journal Article
    ​ ​Local dendritic balance enables learning of efficient representations in networks of spiking neurons​
    Mikulasch, F. A.; Rudelt, L. & Priesemann, V. ​ (2021) 
    Proceedings of the National Academy of Sciences, 118(50) pp. e2021925118​.​ DOI: https://doi.org/10.1073/pnas.2021925118 
    ​Details  DOI 
  • 2021 | Journal Article
    ​ ​Assessing criticality in pre-seizure single-neuron activity of human epileptic cortex​
    Hagemann, A.; Wilting, J.; Samimizad, B.; Mormann, F. & Priesemann, V. ​ (2021) 
    PLOS Computational Biology, 17(3) pp. e1008773​.​ DOI: https://doi.org/10.1371/journal.pcbi.1008773 
    ​Details  DOI 
  • 2021 | Journal Article
    ​ ​An action plan for pan-European defence against new SARS-CoV-2 variants​
    Priesemann, V. ; Balling, R.; Brinkmann, M. M; Ciesek, S.; Czypionka, T.; Eckerle, I. & Giordano, G. et al.​ (2021) 
    The Lancet, 397(10273) pp. 469​-470​.​ DOI: https://doi.org/10.1016/S0140-6736(21)00150-1 
    ​Details  DOI 
  • 2021 | Journal Article | 
    ​ ​Der Beitrag von epidemiologischen Modellen zur Beschreibung des Ausbruchsgeschehens der COVID-19-Pandemie​
    Priesemann, V. ; Meyer-Hermann, M.; Pigeot, I. & Schöbel, A.​ (2021) 
    Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz, 64(9) pp. 1058​-1066​.​ DOI: https://doi.org/10.1007/s00103-021-03390-1 
    ​Details  DOI 
  • 2021 | Journal Article | 
    ​ ​Self-Organization Toward Criticality by Synaptic Plasticity​
    Zeraati, R.; Levina, A. & Priesemann, V. ​ (2021) 
    Frontiers in Physics, 9.​ DOI: https://doi.org/10.3389/fphy.2021.619661 
    ​Details  DOI 
  • 2021 | Journal Article | Research Paper | 
    ​ ​Presynaptic activity and protein turnover are correlated at the single-synapse level​
    Jähne, S. ; Mikulasch, F.; Heuer, H. G.; Truckenbrodt, S.; Agüi-Gonzalez, P. ; Grewe, K. & Vogts, A. et al.​ (2021) 
    Cell Reports, 34(11) pp. 108841​.​ DOI: https://doi.org/10.1016/j.celrep.2021.108841 
    ​Details  DOI  PMID  PMC 
  • 2020 | Lecture
    ​ ​Mit Modellrechnungen der COVID-19 Ausbreitung auf der Spur​
    Priesemann, V. ​ (2020)
    Ein Virus verändert die Welt: Göttinger Wissenschaftler*innen zur Corona-Pandemie; 2020-06-09​, virtuell.
    ​Details 
  • 2020 | Journal Article | Research Paper
    ​ ​Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions​
    Dehning, J.; Zierenberg, J.; Spitzner, F. P.; Wibral, M. ; Neto, J. P.; Wilczek, M. & Priesemann, V. ​ (2020) 
    Science, 369(6500).​ DOI: https://doi.org/10.1126/science.abb9789 
    ​Details  DOI 
  • 2020 | Journal Article
    ​ ​Case Numbers Beyond Contact Tracing Capacity Are Endangering the Containment of COVID-19​
    Linden, M.; Mohr, S. B.; Dehning, J.; Mohring, J.; Meyer-Hermann, M.; Pigeot, I. & Schöbel, A.  et al.​ (2020) 
    Deutsches Ärzteblatt,.​ DOI: https://doi.org/10.3238/arztebl.2020.0790 
    ​Details  DOI 
  • 2020 | Journal Article
    ​ ​Characterizing spreading dynamics of subsampled systems with nonstationary external input​
    de Heuvel, J.; Wilting, J.; Becker, M.; Priesemann, V.   & Zierenberg, J.​ (2020) 
    Physical Review E, 102(4).​ DOI: https://doi.org/10.1103/PhysRevE.102.040301 
    ​Details  DOI 
  • 2020 | Journal Article
    ​ ​Description of spreading dynamics by microscopic network models and macroscopic branching processes can differ due to coalescence​
    Zierenberg, J.; Wilting, J.; Priesemann, V.   & Levina, A.​ (2020) 
    Physical Review E, 101(2) art. 022301​.​ DOI: https://doi.org/10.1103/PhysRevE.101.022301 
    ​Details  DOI 
  • 2020 | Journal Article | 
    ​ ​Control of criticality and computation in spiking neuromorphic networks with plasticity​
    Cramer, B.; Stöckel, D.; Kreft, M.; Wibral, M. ; Schemmel, J.; Meier, K. & Priesemann, V. ​ (2020) 
    Nature Communications, 11(1).​ DOI: https://doi.org/10.1038/s41467-020-16548-3 
    ​Details  DOI 
  • 2019 | Journal Article
    ​ ​25 years of criticality in neuroscience — established results, open controversies, novel concepts​
    Wilting, J. & Priesemann, V. ​ (2019) 
    Current Opinion in Neurobiology, 58 pp. 105​-111​.​ DOI: https://doi.org/10.1016/j.conb.2019.08.002 
    ​Details  DOI 
  • 2019 | Journal Article
    ​ ​Between Perfectly Critical and Fully Irregular: A Reverberating Model Captures and Predicts Cortical Spike Propagation​
    Wilting, J. & Priesemann, V. ​ (2019) 
    Cerebral Cortex, 29(6) pp. 2759​-2770​.​ DOI: https://doi.org/10.1093/cercor/bhz049 
    ​Details  DOI 
  • 2019 | Journal Article | 
    ​ ​Microtiming Deviations and Swing Feel in Jazz​
    Datseris, G.; Ziereis, A.; Albrecht, T. ; Hagmayer, Y.; Priesemann, V.   & Geisel, T. ​ (2019) 
    Scientific Reports, 9(1).​ DOI: https://doi.org/10.1038/s41598-019-55981-3 
    ​Details  DOI  PMID  PMC 
  • 2018 | Journal Article | Research Paper
    ​ ​Operating in a Reverberating Regime Enables Rapid Tuning of Network States to Task Requirements​
    Wilting, J.; Dehning, J.; Pinheiro Neto, J.; Rudelt, L.; Wibral, M. ; Zierenberg, J. & Priesemann, V. ​ (2018) 
    Frontiers in Systems Neuroscience, 12.​ DOI: https://doi.org/10.3389/fnsys.2018.00055 
    ​Details  DOI 
  • 2018 | Journal Article
    ​ ​Homeostatic Plasticity and External Input Shape Neural Network Dynamics​
    Zierenberg, J.; Wilting, J. & Priesemann, V. ​ (2018) 
    Physical Review X, 8(3) art. 031018​.​ DOI: https://doi.org/10.1103/PhysRevX.8.031018 
    ​Details  DOI 
  • 2018 | Journal Article | 
    ​ ​Inferring collective dynamical states from widely unobserved systems​
    Wilting, J. & Priesemann, V. ​ (2018) 
    Nature Communications, 9(1) art. 2325​.​ DOI: https://doi.org/10.1038/s41467-018-04725-4 
    ​Details  DOI 
  • 2018 | Journal Article | Research Paper | 
    ​ ​Can a time varying external drive give rise to apparent criticality in neural systems?​
    Priesemann, V.   & Shriki, O.​ (2018) 
    PLoS Computational Biology, 14(5) art. e1006081​.​ DOI: https://doi.org/10.1371/journal.pcbi.1006081 
    ​Details  DOI 
  • 2018 | Journal Article | 
    ​ ​Correlated microtiming deviations in jazz and rock music​
    Sogorski, M.; Geisel, T. & Priesemann, V. ​ (2018) 
    PLOS ONE, 13(1) art. e0186361​.​ DOI: https://doi.org/10.1371/journal.pone.0186361 
    ​Details  DOI  PMID  PMC 
  • 2017 | Journal Article | 
    ​ ​Breakdown of local information processing may underlie isoflurane anesthesia effects.​
    Wollstadt, P.; Sellers, K. K.; Rudelt, L.; Priesemann, V. ; Hutt, A.; Frohlich, F. & Wibral, M. ​ (2017) 
    PLoS Computational Biology, 13(6) art. e1005511​.​ DOI: https://doi.org/10.1371/journal.pcbi.1005511 
    ​Details  DOI  PMID  PMC 
  • 2017 | Journal Article | Research Paper
    ​ ​Criticality meets learning: Criticality signatures in a self-organizing recurrent neural network​
    Del Papa, B.; Priesemann, V.   & Triesch, J.​ (2017) 
    PLOS ONE, 12(5) pp. e0178683​.​ DOI: https://doi.org/10.1371/journal.pone.0178683 
    ​Details  DOI 
  • 2017 | Journal Article | Research Paper
    ​ ​Partial information decomposition as a unified approach to the specification of neural goal functions​
    Wibral, M. ; Priesemann, V. ; Kay, J. W.; Lizier, J. T. & Phillips, W. A.​ (2017) 
    Brain and Cognition, 112 pp. 25​-38​.​ DOI: https://doi.org/10.1016/j.bandc.2015.09.004 
    ​Details  DOI 
  • 2017 | Journal Article | Research Paper | 
    ​ ​Quantifying Information Modification in Developing Neural Networks via Partial Information Decomposition​
    Wibral, M. ; Finn, C.; Wollstadt, P.; Lizier, J. & Priesemann, V. ​ (2017) 
    Entropy, 19(9) art. 494​.​ DOI: https://doi.org/10.3390/e19090494 
    ​Details  DOI 
  • 2017 | Journal Article | 
    ​ ​Subsampling scaling​
    Levina, A. & Priesemann, V. ​ (2017) 
    Nature Communications, 8 art. 15140​.​ DOI: https://doi.org/10.1038/ncomms15140 
    ​Details  DOI  PMID  PMC 
  • 2015 | Journal Article | Research Paper
    ​ ​Untangling cross-frequency coupling in neuroscience​
    Aru, J.; Aru, J.; Priesemann, V. ; Wibral, M. ; Lana, L.; Pipa, G. & Singer, W. et al.​ (2015) 
    Current Opinion in Neurobiology, 31 pp. 51​-61​.​ DOI: https://doi.org/10.1016/j.conb.2014.08.002 
    ​Details  DOI 
  • 2014 | Journal Article | Research Paper
    ​ ​Local active information storage as a tool to understand distributed neural information processing​
    Wibral, M. ; Lizier, J. T.; Vögler, S.; Priesemann, V.   & Galuske, R.​ (2014) 
    Frontiers in Neuroinformatics, 8.​ DOI: https://doi.org/10.3389/fninf.2014.00001 
    ​Details  DOI 
  • 2014 | Journal Article | Research Paper
    ​ ​Repetitive magnetic stimulation induces plasticity of excitatory postsynapses on proximal dendrites of cultured mouse CA1 pyramidal neurons​
    Lenz, M.; Platschek, S.; Priesemann, V. ; Becker, D.; Willems, L. M.; Ziemann, U. & Deller, T. et al.​ (2014) 
    Brain Structure and Function, 220(6) pp. 3323​-3337​.​ DOI: https://doi.org/10.1007/s00429-014-0859-9 
    ​Details  DOI 
  • 2014 | Journal Article | 
    ​ ​Spike avalanches in vivo suggest a driven, slightly subcritical brain state.​
    Priesemann, V. ; Wibral, M. ; Valderrama, M.; Pröpper, R.; Le Van Quyen, M.; Geisel, T.   & Triesch, J. et al.​ (2014) 
    Frontiers in Systems Neuroscience, 8 art. 108​.​ DOI: https://doi.org/10.3389/fnsys.2014.00108 
    ​Details  DOI  PMID  PMC 
  • 2013 | Journal Article | Research Paper
    ​ ​Neuronal Avalanches Differ from Wakefulness to Deep Sleep – Evidence from Intracranial Depth Recordings in Humans​
    Priesemann, V. ; Valderrama, M.; Wibral, M.   & Le Van Quyen, M.​ (2013) 
    PLoS Computational Biology, 9(3) pp. e1002985​.​ DOI: https://doi.org/10.1371/journal.pcbi.1002985 
    ​Details  DOI 
  • 2013 | Journal Article | Research Paper
    ​ ​Measuring Information-Transfer Delays​
    Wibral, M. ; Pampu, N.; Priesemann, V. ; Siebenhühner, F.; Seiwert, H.; Lindner, M. & Lizier, J. T. et al.​ (2013) 
    PLoS ONE, 8(2) pp. e55809​.​ DOI: https://doi.org/10.1371/journal.pone.0055809 
    ​Details  DOI 
  • 2011 | Journal Article | Research Paper | 
    ​ ​TRENTOOL: A Matlab open source toolbox to analyse information flow in time series data with transfer entropy​
    Lindner, M.; Vicente, R.; Priesemann, V.   & Wibral, M. ​ (2011) 
    BMC Neuroscience, 12(1).​ DOI: https://doi.org/10.1186/1471-2202-12-119 
    ​Details  DOI 
  • 2009 | Journal Article | Research Paper | 
    ​ ​Subsampling effects in neuronal avalanche distributions recorded in vivo​
    Priesemann, V. ; Munk, M. H. & Wibral, M. ​ (2009) 
    BMC Neuroscience, 10(1).​ DOI: https://doi.org/10.1186/1471-2202-10-40 
    ​Details  DOI 

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