Santa Fe Institute Collaboration Platform

COMPLEX TIME: Adaptation, Aging, & Arrow of Time

Get Involved!
Contact: Caitlin Lorraine McShea, Program Manager, cmcshea@santafe.edu

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

From Complex Time
(Created page with "{{Agenda item |Start time=July 23, 2018 04:20:00 PM |End time=July 23, 2018 05:10:00 |Presenter=JacopoGrilli }}")
 
Line 1: Line 1:
 
{{Agenda item
 
{{Agenda item
 
|Start time=July 23, 2018 04:20:00 PM
 
|Start time=July 23, 2018 04:20:00 PM
|End time=July 23, 2018 05:10:00  
+
|End time=July 23, 2018 05:10:00 AM
 
|Presenter=JacopoGrilli
 
|Presenter=JacopoGrilli
 +
|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.
 +
 +
 +
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 interactionsdetermine 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 interactionstrengths properties
 
}}
 
}}

Revision as of 17:51, July 25, 2018

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 interactionsdetermine 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 interactionstrengths properties

Presentation file(s)
Download Presentation (Delete)
Related files