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Statistical approaches to layering and self-organisation

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ADI - Anti-diffusive dynamics: from sub-cellular to astrophysical scales

Layering and self-organisation are commonly found across disciplines while variability has emerged as an essential feature with improved measurement and modelling technology. In this talk, we will go over statistical approaches to understand layering and self-organisation in a few different systems including fluid turbulence, plasma turbulence and brain activities measured by EEG signals. In particular, we will have a critical view on the mean-field theory concepts (e.g. turbulent coefficients) and show how probability density function and information geometry methods could help us understand correlation, self-organisation, and causal relations as well as characterising Alzheimer’s disease.

This talk is part of the Isaac Newton Institute Seminar Series series.

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