IC19 – Spreading dynamics in neural networks – and of COVID-19

Lecturer: Viola Priesemann
Fields: Networks, neural information processing, COVID

Content

We introduce the spreading dynamics of activity in neural networks, and then show how it fosters information processing.

Literature

  • Cramer et al., Nature Communications, 2020. https://www.nature.com/articles/s41467-020-16548-3
  • Contreras et al., 2020. https://arxiv.org/pdf/2011.11413
  • Contreras et al., Nature Communications, 2021. https://www.nature.com/articles/s41467-020-20699-8
  • Dehning et al., Science 2020. https://science.sciencemag.org/content/early/2020/05/14/science.abb9789
  • Wilting et al., Nature Communications, 2018. https://www.nature.com/articles/s41467-018-04725-4

Lecturer

Viola Priesemann
Prof. Viola Priesemann

Dr. Viola Priesemann is a researcher at the Max Planck Institute for Dynamics and Self-Organization and teaches at the Georg-August University Göttingen. She studies spreading processes, self-organization and information processing in living and artificial networks. Since the COVID-19 outbreak, she has been studying the spread of SARS-CoV-2, quantified the effectiveness of interventions, and developed containment strategies. Viola Priesemann is co-author of several position papers (e.g. of the National Academy Leopoldina), Fellow of the Schiemann-Kolleg and member of the Cluster of Excellence “Multiscale Bioimaging” at the Campus Göttingen.

Affiliation: Max Planck Institute for Dynamics and Self-Organization
Homepage: www.viola-priesemann.de