With the availability of detailed information about the connectivity among brain areas, network analysis tools have been applied to datasets comprising cat and macaque cortical networks. Using evolutionary optimization algorithms (based on global analysis of the network), similarities between anatomical connections and functional properties of the areas of the brain have been found in previous works.
Mapping cortical functions with a local community detection algorithm / G. Gronchi;A. Guazzini;E. Massaro;F. Bagnoli. - In: JOURNAL OF COMPLEX NETWORKS. - ISSN 2051-1310. - STAMPA. - 2:(2014), pp. 637-653. [10.1093/comnet/cnu035]
Mapping cortical functions with a local community detection algorithm
GRONCHI, GIORGIO;GUAZZINI, ANDREA;MASSARO, EMANUELE;BAGNOLI, FRANCO
2014
Abstract
With the availability of detailed information about the connectivity among brain areas, network analysis tools have been applied to datasets comprising cat and macaque cortical networks. Using evolutionary optimization algorithms (based on global analysis of the network), similarities between anatomical connections and functional properties of the areas of the brain have been found in previous works.File | Dimensione | Formato | |
---|---|---|---|
jcomplexnetw-2014-Gronchi-comnet-cnu035.pdf
Accesso chiuso
Tipologia:
Pdf editoriale (Version of record)
Licenza:
Tutti i diritti riservati
Dimensione
1.57 MB
Formato
Adobe PDF
|
1.57 MB | Adobe PDF | Richiedi una copia |
I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.