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.
2014
2
637
653
G. Gronchi;A. Guazzini;E. Massaro;F. Bagnoli
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/925332
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