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SUMMARY:Statistical approaches to layering and self-organisation - Eun-jin
  Kim (Coventry University)
DTSTART:20240418T150000Z
DTEND:20240418T160000Z
UID:TALK215848@talks.cam.ac.uk
DESCRIPTION:Layering and self-organisation are commonly found across disci
 plines while variability has emerged as an essential feature with improved
  measurement and modelling technology. In this talk\, we will go over stat
 istical approaches to understand layering and self-organisation in a few d
 ifferent systems including fluid turbulence\, plasma turbulence and brain 
 activities measured by EEG signals. In particular\, we will have a critica
 l view on the mean-field theory concepts (e.g. turbulent&nbsp\;coefficient
 s) and show how probability density function and information geometry meth
 ods could help us understand correlation\, self-organisation\, and causal 
 relations as well as characterising Alzheimer's disease.
LOCATION:Seminar Room 1\, Newton Institute
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