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Bibliographic Details
Main Author: Reyes, Leonardo
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2407.14318
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author Reyes, Leonardo
author_facet Reyes, Leonardo
contents Here we outline some new results for the GHWS model which points to a discretization of parameter space into well differentiated collective dynamic states. We argue this can lead to basic processes in parameter space, starting with minimum modelling ingredients: a complex network with a disorder parameter and an excitable dynamics (cellular automata) on it. We relate {\it energy loss} and {\it dynamics} for processes in parameter space with constant fluctuations of activity.
format Preprint
id arxiv_https___arxiv_org_abs_2407_14318
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Some new results for the GHWS model
Reyes, Leonardo
Disordered Systems and Neural Networks
Here we outline some new results for the GHWS model which points to a discretization of parameter space into well differentiated collective dynamic states. We argue this can lead to basic processes in parameter space, starting with minimum modelling ingredients: a complex network with a disorder parameter and an excitable dynamics (cellular automata) on it. We relate {\it energy loss} and {\it dynamics} for processes in parameter space with constant fluctuations of activity.
title Some new results for the GHWS model
topic Disordered Systems and Neural Networks
url https://arxiv.org/abs/2407.14318