The Quantitative Comparison Between the Neuronal Network and the Cosmic Web

We investigate the similarities between two of the most challenging and complex systems in Nature: the network of neuronal cells in the human brain, and the cosmic network of galaxies. We explore the structural, morphological, network properties and the memory capacity of these two fascinating syste...

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Main Authors: F. Vazza, A. Feletti
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-11-01
Series:Frontiers in Physics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fphy.2020.525731/full
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spelling doaj-aa330e4e224f4cd595a7a4caa8a277562020-12-08T08:35:07ZengFrontiers Media S.A.Frontiers in Physics2296-424X2020-11-01810.3389/fphy.2020.525731525731The Quantitative Comparison Between the Neuronal Network and the Cosmic WebF. Vazza0F. Vazza1F. Vazza2A. Feletti3A. Feletti4Dipartimento di Fisica e Astronomia, Universitá di Bologna, , Bologna, ItalyHamburger Sternwarte, Hamburg, GermanyIstituto di Radio Astronomia, INAF, Bologna, ItalyInstitute of Neurosurgery, Department of Neurosciences, Biomedicine, and Movement Sciences, University of Verona, Verona, ItalyAzienda Ospedaliera‐Universitaria di Modena, Modena, ItalyWe investigate the similarities between two of the most challenging and complex systems in Nature: the network of neuronal cells in the human brain, and the cosmic network of galaxies. We explore the structural, morphological, network properties and the memory capacity of these two fascinating systems, with a quantitative approach. In order to have an homogeneous analysis of both systems, our procedure does not consider the true neural connectivity but an approximation of it, based on simple proximity. The tantalizing degree of similarity that our analysis exposes seems to suggest that the self-organization of both complex systems is likely being shaped by similar principles of network dynamics, despite the radically different scales and processes at play.https://www.frontiersin.org/articles/10.3389/fphy.2020.525731/fullcosmology: theoryneurosciencenetwork analysiscomplex systemslarge‐scale structure formation
collection DOAJ
language English
format Article
sources DOAJ
author F. Vazza
F. Vazza
F. Vazza
A. Feletti
A. Feletti
spellingShingle F. Vazza
F. Vazza
F. Vazza
A. Feletti
A. Feletti
The Quantitative Comparison Between the Neuronal Network and the Cosmic Web
Frontiers in Physics
cosmology: theory
neuroscience
network analysis
complex systems
large‐scale structure formation
author_facet F. Vazza
F. Vazza
F. Vazza
A. Feletti
A. Feletti
author_sort F. Vazza
title The Quantitative Comparison Between the Neuronal Network and the Cosmic Web
title_short The Quantitative Comparison Between the Neuronal Network and the Cosmic Web
title_full The Quantitative Comparison Between the Neuronal Network and the Cosmic Web
title_fullStr The Quantitative Comparison Between the Neuronal Network and the Cosmic Web
title_full_unstemmed The Quantitative Comparison Between the Neuronal Network and the Cosmic Web
title_sort quantitative comparison between the neuronal network and the cosmic web
publisher Frontiers Media S.A.
series Frontiers in Physics
issn 2296-424X
publishDate 2020-11-01
description We investigate the similarities between two of the most challenging and complex systems in Nature: the network of neuronal cells in the human brain, and the cosmic network of galaxies. We explore the structural, morphological, network properties and the memory capacity of these two fascinating systems, with a quantitative approach. In order to have an homogeneous analysis of both systems, our procedure does not consider the true neural connectivity but an approximation of it, based on simple proximity. The tantalizing degree of similarity that our analysis exposes seems to suggest that the self-organization of both complex systems is likely being shaped by similar principles of network dynamics, despite the radically different scales and processes at play.
topic cosmology: theory
neuroscience
network analysis
complex systems
large‐scale structure formation
url https://www.frontiersin.org/articles/10.3389/fphy.2020.525731/full
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