Seminars Details


Virtual Seminar: Statistical Physics of Spreading dynamics: From neural networks to COVID-19

Viola Priesemann; MPI for Dynamics and Self-Organization; Research: Physics, Complex Systems & Neural Networks

How can we infer the spreading of activity if only a fraction of the system is observed? And how can we then infer the spreading of activity in neural networks, and that of SARS-CoV-2 in the population? We recapitulate the basic principles of spreading dynamics, and its role in shaping collective computation in neural networks. For COVID-19, we show how it is mitigated by vaccination and test-trace-isolate strategies, and derive a metastable state, which could greatly facilitate the control of the pandemic.

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