Emergence of Small-World Anatomical Networks in Self-Organizing Clustered Neuronal Cultures

Santos Sierra, Daniel de and Sendiña-Nadal, Irene and Leyva, Inmaculada and Almendral, Juan A. and Anava, Sarit and Ayali, Amir and Papo, David and Boccaletti, Stefano (2014). Emergence of Small-World Anatomical Networks in Self-Organizing Clustered Neuronal Cultures. "Plos One", v. 9 (n. 1); pp. 1-8. ISSN 1932-6203. https://doi.org/10.1371/journal.pone.0085828.

Description

Title: Emergence of Small-World Anatomical Networks in Self-Organizing Clustered Neuronal Cultures
Author/s:
  • Santos Sierra, Daniel de
  • Sendiña-Nadal, Irene
  • Leyva, Inmaculada
  • Almendral, Juan A.
  • Anava, Sarit
  • Ayali, Amir
  • Papo, David
  • Boccaletti, Stefano
Item Type: Article
Título de Revista/Publicación: Plos One
Date: January 2014
Volume: 9
Subjects:
Faculty: Centro de Domótica Integral (CeDInt) (UPM)
Department: Otro
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

In vitro primary cultures of dissociated invertebrate neurons from locust ganglia are used to experimentally investigate the morphological evolution of assemblies of living neurons, as they self-organize from collections of separated cells into elaborated, clustered, networks. At all the different stages of the culture's development, identification of neurons' and neurites' location by means of a dedicated software allows to ultimately extract an adjacency matrix from each image of the culture. In turn, a systematic statistical analysis of a group of topological observables grants us the possibility of quantifying and tracking the progression of the main network's characteristics during the self-organization process of the culture. Our results point to the existence of a particular state corresponding to a small-world network configuration, in which several relevant graph's micro- and meso-scale properties emerge. Finally, we identify the main physical processes ruling the culture's morphological transformations, and embed them into a simplified growth model qualitatively reproducing the overall set of experimental observations.

More information

Item ID: 38713
DC Identifier: http://oa.upm.es/38713/
OAI Identifier: oai:oa.upm.es:38713
DOI: 10.1371/journal.pone.0085828
Official URL: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0085828
Deposited by: Memoria Investigacion
Deposited on: 15 Jun 2017 07:18
Last Modified: 15 Jun 2017 07:18
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