Activity-dependent neural network model on scale-free networks. (Articolo in rivista)

Type

• Articolo in rivista (Classe)
• Prodotto della ricerca (Classe)

Label

• Activity-dependent neural network model on scale-free networks. (Articolo in rivista) (literal)

Anno

• 2007-01-01T00:00:00+01:00 (literal)

Alternative label

• Pellegrini GL, de Arcangelis L, Herrmann HJ, Perrone-Capano C (2007)
  Activity-dependent neural network model on scale-free networks.
  
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Pellegrini GL, de Arcangelis L, Herrmann HJ, Perrone-Capano C (literal)

Pagina inizio

• 016107 (literal)

Pagina fine

• 016107 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 76 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto

• Pubblicazione (literal)

Note

• ISI Web of Science (WOS) (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• IGB \"ABT\" (literal)

Titolo

• Activity-dependent neural network model on scale-free networks. (literal)

Abstract

• Networks of living neurons exhibit an avalanche mode of activity, experimentally found in organotypic cultures. Moreover, experimental studies of morphology indicate that neurons develop a network of small-world-like connections, with the possibility of a very high connectivity degree. Here we study a recent model based on self-organized criticality, which consists of an electrical network with threshold firing and activity-dependent synapse strengths. We study the model on a scale-free network, the Apollonian network. The system exhibits an avalanche activity with a power law distribution of sizes and durations. The analysis of the power spectra of the electrical signal reproduces very robustly the power law behavior with the exponent 0.8, experimentally measured in electroencephalogram spectra. The exponents are found to be quite stable with respect to initial configurations and strength of plastic remodeling, indicating that universality holds for a wide class of neural network models. (literal)

Prodotto di

• Sviluppo e funzionamento dei sistemi complessi - Uso di modelli biologici (SV.P16.005.001) (Modulo)
• Institute of genetics and biophysics \"Adriano Buzzati Traverso\" (IGB) (Istituto)
• Meccanismi molecolari e cellulari della determinazione neurale, differenziamento neuronale e patologie del sistema nervoso (SV.P16.006.001) (Modulo)

Autore CNR

• CARLA PERRONE CAPANO (Unità di personale esterno)

Incoming links:

Prodotto

• Institute of genetics and biophysics \"Adriano Buzzati Traverso\" (IGB) (Istituto)
• Meccanismi molecolari e cellulari della determinazione neurale, differenziamento neuronale e patologie del sistema nervoso (SV.P16.006.001) (Modulo)
• Sviluppo e funzionamento dei sistemi complessi - Uso di modelli biologici (SV.P16.005.001) (Modulo)

Autore CNR di

• CARLA PERRONE CAPANO (Unità di personale esterno)