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COMPLEX TIME: Adaptation, Aging, & Arrow of Time

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Difference between revisions of "Cognitive Regime Shift I - When the Brain Breaks/On the Stability of Large Ecological Communities"

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|Pre-meeting notes=Ecological communities (more generally, non-linear systems) often showmultiple regimes, which are separated by a sharp and rapid transition. I will discuss the scenario when the driver of the transition is the structure of interactions. Random matrix theory has a powerful set of tools that can be used to unveil the relation between interaction structure and dynamics.
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Take home messages:
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- universality: when many components interact many details do not matter (e.g. the distribution of interaction coefficients) and few global properties of the interactions determine the relevant dynamical properties
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- the effect of the structure (whether a given network structure is stabilizing or destabilizing compared to the null/random case) *depends* on the interaction strengths properties
 
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Latest revision as of 22:21, January 20, 2019

July 23, 2018
4:20 pm - 5:10 am

Presenter

Jacopo Grilli (ICTP)

Abstract

Ecological communities (more generally, non-linear systems) often showmultiple regimes, which are separated by a sharp and rapid transition. I will discuss the scenario when the driver of the transition is the structure of interactions. Random matrix theory has a powerful set of tools that can be used to unveil the relation between interaction structure and dynamics.

Take home messages:

- universality: when many components interact many details do not matter (e.g. the distribution of interaction coefficients) and few global properties of the interactions determine the relevant dynamical properties - the effect of the structure (whether a given network structure is stabilizing or destabilizing compared to the null/random case) *depends* on the interaction strengths properties

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Post-meeting Reflection

Jacopo Grilli (ICTP) Link to the source page

- dynamics: if we think at aging as the approach of critical transition we have specific predictions: critical slowing down, flickering, etc

- information: where is information in this dynamical / tipping point picture? Do we need it?

- scales and information: at what scale should we look at the brain to "explain" the interesting (information) phenomena?

Reference Material