http://www.cnr.it/ontology/cnr/individuo/prodotto/ID278571
Emergence of Small-World Anatomical Networks in Self-Organizing Clustered Neuronal Cultures (Articolo in rivista)
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- Label
- Emergence of Small-World Anatomical Networks in Self-Organizing Clustered Neuronal Cultures (Articolo in rivista) (literal)
- Anno
- 2014-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1371/journal.pone.0085828 (literal)
- Alternative label
Daniel de Santos-Sierra (1); Irene Sendiña-Nadal (1,2); Inmaculada Leyva (1,2); Juan A. Almendral (1,2); Sarit Anava (3); Amir Ayali (3); David Papo (1); Stefano Boccaletti (4,5) (2014)
Emergence of Small-World Anatomical Networks in Self-Organizing Clustered Neuronal Cultures
in PloS one
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Daniel de Santos-Sierra (1); Irene Sendiña-Nadal (1,2); Inmaculada Leyva (1,2); Juan A. Almendral (1,2); Sarit Anava (3); Amir Ayali (3); David Papo (1); Stefano Boccaletti (4,5) (literal)
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- http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0085828 (literal)
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- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- (1) Center for Biomedical Technology, Universidad Politécnica de Madrid, Pozuelo de Alarcón, Madrid, Spain
(2) Complex Systems Group, Universidad Rey Juan Carlos, Móstoles, Madrid, Spain
(3) Department of Zoology, Tel-Aviv University, Tel Aviv, Israel
(4) Istituto dei Sistemi Complessi, Consiglio Nazionale delle Ricerche, Sesto Fiorentino, Florence, Italy
(5) Istituto Nazionale di Fisica Nucleare, Sesto Fiorentino, Florence, Italy (literal)
- Titolo
- Emergence of Small-World Anatomical Networks in Self-Organizing Clustered Neuronal Cultures (literal)
- 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. (literal)
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