Information processing in large-scale cerebral networks: the causal connectivity approach.

Détails

ID Serval
serval:BIB_0195976CD6AE
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Information processing in large-scale cerebral networks: the causal connectivity approach.
Périodique
Biological Cybernetics
Auteur(s)
Pastor J., Lafon M., Travé-Massuyès L., Démonet J.F., Doyon B., Celsis P.
ISSN
0340-1200 (Print)
ISSN-L
0340-1200
Statut éditorial
Publié
Date de publication
2000
Peer-reviewed
Oui
Volume
82
Numéro
1
Pages
49-59
Langue
anglais
Notes
Publication types: Journal ArticlePublication Status: ppublish
Résumé
Today, cognitive functions are considered to be the offspring of the activity of large-scale networks of functionally interconnected cerebral regions. The interpretation of cerebral activation data provided by functional imaging has therefore recently moved to the search for the effective connectivity of activated regions, which aims at understanding the role of anatomical links in the activation propagation. Our assumption is that only causal connectivity can offer a real understanding of the links between brain and mind. Causal connectivity is based on the anatomical connection pattern, the information processing within cerebral regions and the causal influences that connected regions exert on each other. In our approach, the information processing within a region is implemented by a causal network of functional primitives, which are the interpretation of integrated biological properties. Our choice of a qualitative representation of information reflects the fact that cerebral activation data are only the approximate view, provided by imaging techniques, of the real cerebral activity. This explicit modeling approach allows the formulation and the simulation of functional and physiological assumptions about activation data. Two alternative models explaining results of the striate cortex activation described by Fox and Raichle (Fox PT, Raichle ME (1984) J. Neurophysiol 51:1109-1120; Fox PT, Raichle ME (1985) Ann Neurol 17:303-305) are provided as an example of our approach.
Mots-clé
Animals, Cerebral Cortex/physiology, Cognition, Humans, Models, Biological, Models, Theoretical, Nerve Net
Pubmed
Web of science
Création de la notice
24/03/2013 18:22
Dernière modification de la notice
03/03/2018 13:15
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