Viola Priesemann

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Viola Priesemann
Viola Priesemann (Fotograph - Joao Pinheiro Neto).jpg
(Photograph by Joao Pinheiro Neto)
Born (1982-04-28) April 28, 1982 (age 41)
Bobingen, Germany
NationalityGerman
Alma mater Technische Universität Darmstadt
Scientific career
Doctoral advisor Theo Geisel
Other academic advisorsGilles Laurent

Viola Priesemann (born 28 April 1982) is a German physicist and computational neuroscientist. One of her research priorities is to explore how the human brain organizes its neuronal capacities, to enable meaningful information processing. [1]

Contents

Education and career

Viola Priesemann was born in Bobingen, Germany. She studied physics at the Technische Universität Darmstadt. She conducted research on neural information processing at the École normale supérieure in Paris, at the California Institute of Technology, and at the Max Planck Institute for Brain Research in Frankfurt. Priesemann's doctoral thesis focused on propagation dynamics in neural networks and the role of phase transitions in information processing. [2] [3]

After working as a postdoc with Theo Geisel, she became a fellow at the Bernstein Center for Computational Neuroscience Göttingen in 2014 and successfully applied for an independent Max Planck Research Group in 2015, which she currently leads at the Max Planck Institute for Dynamics and Self-Organization in Göttingen. She studies propagation processes in complex systems [4] and the self-organization and emergence of information processing in living and artificial neural networks. [5] [6]

Media appearances

In the course of the COVID-19 pandemic, Priesemann researched the spread and containment strategies of the coronavirus SARS-CoV-2 [7] and also increasingly appeared in public. She was co-author and first signatory of the statements of the non-university research institutions, the John Snow Memorandum [8] and the Leopoldina. She is initiator of a Pan-European Statement, [9] [10] which emphasizes the need for a common European approach to COVID-19 containment and presents a clear action plan. The weekly newspaper Die Zeit devoted a multi-page dossier to the mathematical study of the pandemic by Priesemann and her research group at the Max Planck Institute in December 2020. [11]

Priesemann has been calculating scenarios of how the spread of the SARS-CoV-2 coronavirus accelerates or weakens under different conditions ever since the outbreak of the corona pandemic. During the first wave of SARS-CoV-2, Germany was one among many countries introducing rules for social distancing in order to slow down the spreading of the virus. In comparison to other countries in Europe, the death rates were relatively low in Germany. According to an article published in Science, the timing and coordination of the various measurements were also based on Priesemann's calculations on the quantification of the virus. The code on which the related calculations have been based is freely available and adaptable to various countries or regional scenarios. In addition to looking at the basic reproduction number (R), Priesemann observed that besides the risks associated with the R-value rising above 1, a further tipping point may be reached when the number of infections is rising so fast that the health authorities fail to identify infected persons, tested as positive fast enough to test (and if necessary isolate) contact persons. [12] Priesemann developed a containment strategy that employed "Social Bubbles". An article on this approach was published in The Lancet and ended up finding its way into several statements on how to contain Covid in Europe. [10] Priesemann is one of the scientists supporting various public statements issued by the German National Academy of Sciences Leopoldina.

Awards

Related Research Articles

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References

  1. "Research, Self-organization, spreading dynamics and information processing" (in German). Retrieved 9 April 2021.
  2. Priesemann, Viola; Wibral, M.; Valderrama, M.; Pröpper, R.; Le Van Quyen, M.; Geisel, T.; Triesch, J.; Nikolić, D.; Munk, M. H. (2014). "Spike avalanches in vivo suggest a driven, slightly subcritical brain state". Frontiers in Systems Neuroscience. 8: 108. doi: 10.3389/fnsys.2014.00108 . PMC   4068003 . PMID   25009473.
  3. Priesemann, Viola; Valderrama, Mario; Wibral, Michael; Le Van Quyen, Michel (2013). "Neuronal Avalanches Differ from Wakefulness to Deep Sleep – Evidence from Intracranial Depth Recordings in Humans". PLOS Computational Biology. 9 (3): e1002985. Bibcode:2013PLSCB...9E2985P. doi: 10.1371/journal.pcbi.1002985 . PMC   3605058 . PMID   23555220.
  4. Wilting, Jens; Priesemann, Viola (2018). "Inferring collective dynamical states from widely unobserved systems". Nature Communications. 9 (1): 2325. arXiv: 1608.07035 . Bibcode:2018NatCo...9.2325W. doi:10.1038/s41467-018-04725-4. PMC   5998151 . PMID   29899335. S2CID   4357740.
  5. Cramer, Benjamin; Stöckel, David; Kreft, Markus; Wibral, Michael; Schemmel, Johannes; Meier, Karlheinz; Priesemann, Viola (2020). "Control of criticality and computation in spiking neuromorphic networks with plasticity". Nature Communications. 11 (1): 2853. arXiv: 1909.08418 . Bibcode:2020NatCo..11.2853C. doi:10.1038/s41467-020-16548-3. PMC   7275091 . PMID   32503982. S2CID   202660759.
  6. Zierenberg, Johannes; Wilting, Jens; Priesemann, Viola (2018). "Homeostatic Plasticity and External Input Shape Neural Network Dynamics". Physical Review X. 8 (3): 031018. arXiv: 1807.01479 . Bibcode:2018PhRvX...8c1018Z. doi: 10.1103/PhysRevX.8.031018 . S2CID   49572049.
  7. Dehning, Jonas; Zierenberg, Johannes; Spitzner, F. Paul; Wibral, Michael; Neto, Joao Pinheiro; Wilczek, Michael; Priesemann, Viola (10 July 2020). "RESEARCH ARTICLE Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions". Science. 369 (6500): eabb9789. doi:10.1126/science.abb9789. PMC   7239331 . PMID   32414780.
  8. "(61) Coronavirus-Update: Winter is coming".
  9. Priesemann, Viola; Brinkmann, Melanie M; Ciesek, Sandra; Cuschieri, Sarah; Czypionka, Thomas; Giordano, Giulia; et al. "Calling for pan-European commitment for rapid and sustained reduction in SARS-CoV-2 infections". The Lancet . 397 (10269): 92–93. doi:10.1016/S0140-6736(20)32625-8.
  10. 1 2 Priesemann, Viola; Balling, Rudi; Brinkmann, Melanie M; Ciesek, Sandra; Czypionka, Thomas; Eckerle, Isabella; et al. "An action plan for pan-European defence against new SARS-CoV-2 variants". The Lancet . 397 (10273): 469–470. doi: 10.1016/S0140-6736(21)00150-1 . ISSN   0140-6736. PMC   7825950 . PMID   33485462.
  11. Henk, Malte (17 December 2020). "Hat sie die Lösung?" (in German). Die Zeit. pp. 15–17.
  12. "Dr. Viola Priesemann – Physics, Complex Systems & Neural Networks" . Retrieved 21 February 2021.
  13. "Communitas-Preis für Viola Priesemann".