Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloThe formation of synchronization cliques during the development of modular neural networks
Anno di pubblicazione2009
Formato
  • Elettronico
  • Cartaceo
Autore/iEinat Fuchs (1,2,5); Amir Ayali (1); Eshel Ben-Jacob (2); Stefano Boccaletti (3,4)
Affiliazioni autori(1) Department of Zoology, Tel-Aviv University, Tel-Aviv 69978, Israel (2) School of Physics and Astronomy, Tel-Aviv University, Tel-Aviv 69978, Israel (3) CNR-Institute of Complex Systems, Florence, Italy (4) Italian Embassy in Israel, 25 Hamered Street, Tel-Aviv, Israel (5) Present address: Department of Mechanical & Aerospace Engineering, Princeton University, USA
Autori CNR e affiliazioni
  • STEFANO BOCCALETTI
Lingua/e
  • inglese
AbstractModular organization is a special feature shared by many biological and social networks alike. It is a hallmark for systems exhibiting multitasking, in which individual tasks are performed by separated and yet coordinated functional groups. Understanding how networks of segregated modules develop to support coordinated multitasking functionalities is the main topic of the current study. Using simulations of biologically inspired neuronal networks during development, we study the formation of functional groups (cliques) and inter-neuronal synchronization. The results indicate that synchronization cliques first develop locally according to the explicit network topological organization. Later on, at intermediate connectivity levels, when networks have both local segregation and long-range integration, new synchronization cliques with distinctive properties are formed. In particular, by defining a new measure of synchronization centrality, we identify at these developmental stages dominant neurons whose functional centrality largely exceeds the topological one. These are generated mainly in a few dominant clusters that become the centers of the newly formed synchronization cliques. We show that by the local synchronization properties at the very early developmental stages, it is possible to predict with high accuracy which clusters will become dominant in later stages of network development.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da036018
Pagine a-
Pagine totali11
RivistaPhysical biology (Print)
Attiva dal 2004
Editore: IOP Publishing, - Bristol
Paese di pubblicazione: Regno Unito
Lingua: inglese
ISSN: 1478-3967
Titolo chiave: Physical biology (Print)
Titolo proprio: Physical biology. (Print)
Titolo alternativo: Phys. Biol. (Print)
Numero volume della rivista6
Fascicolo della rivista3
DOI10.1088/1478-3975/6/3/036018
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • ISI Web of Science (WOS) (Codice:000269178800018)
  • PubMed (Codice:19648664)
Parole chiaveNeural networks and synaptic communicationne, Synchronization; coupled oscillators, Neuroscience
Link (URL, URI)http://iopscience.iop.org/1478-3975/6/3/036018
Titolo parallelo-
Licenza-
Scadenza embargo-
Data di accettazione30/06/2009
Note/Altre informazioniPublished 31July 2009.
Strutture CNR
  • ISC — Istituto dei sistemi complessi
Moduli/Attività/Sottoprogetti CNR
  • MD.P02.017.001 : comportamento dinamico di sistemi complessi
Progetti Europei-
Allegati
Articolo pubblicato (documento privato )
Tipo documento: application/pdf

Dati storici
I dati storici non sono modificabili, sono stati ereditati da altri sistemi (es. Gestione Istituti, PUMA, ...) e hanno solo valore storico.
Area disciplinareBiology
Area valutazione CIVRScienze fisiche
Rivista ISIPHYSICAL BIOLOGY [00433NN]