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BGTS Colloquium

16:00 - 17:30
Universität Bielefeld
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Speaker: Dr. Viola Priesemann

Titel: Network dynamics, learning and self-organization: from neural information flow to COVID-19

Abstract: Spreading dynamics is ubiquitous: activity spreads in neural networks, news and fake news in social networks, and just recently the spread of a novel virus has disrupted the daily lives of people around the globe. Interestingly, in all these networks, the connections are not static, but change systematically over time. In neural networks, this is essential to implement learning, for the pandemic it was key to mitigating the spread of SARS-CoV-2. We derive the principles of self-organization in these diverse networks, show under which conditions phase transitions and critical phenomena occur, and how these can help to optimize information flow. We then put these theoretical results to the test in living real-world networks. Overall, our work contributes to our understanding of the learning and self-stabilization of living systems, from emergent information flow in neural networks to the infodemics-pandemics interaction in social networks.

Alles auf einen Blick:

  • Veranstalter: Bielefeld Graduate School in Theoretical Sciences (BGTS)
  • Ort: Universität Bielefeld
  • Raum: H6
  • Zeit: 17.11.2022, 16:00 - 17:30
  • Zielgruppe: Lehrende und Forschende, Studierende, Wiss. Nachwuchs
  • Öffentlichkeit: universitätsintern
  • Anmeldung: Link zur Event-Website