Cerebral Cortex, Vol 8, 28-39, Copyright © 1998 by Oxford University Press
B Jouve, P Rosenstiehl and M Imbert
The visual cortex of the macaque monkey is divided into many distinct
visual information processing areas. In many cases, anatomical and
physiological results allow one to determine the presence or the absence of
neuronal connections from one area to another. We have approached the
topology of this neuronal network within the mathematical framework of
graph theory. At first, we studied the unknown part of the network, i.e.
the part where anatomical and physiological results are lacking. Relying on
a specific topological property of the network established on the known
part, we developed an interpolation algorithm for reducing the level of
uncertainty concerning the unknown part. From these results, we then
constructed a connectional model of the neuronal network for the entire
cortical visual system. Subsequently, a topological analysis of this model,
with the help of factorial analysis and clustering technics, shows its
structural properties and singular vertices. This analysis suggests the
existence of two distinct classes of areas, one in the parietal part of the
cortex and the other in the temporal part, which are connected to each
other via relay areas, especially involving the frontal eye field. These
results may help to understand the functional role of particular cortical
areas in vision and, more generally, to explore how visual information
flows within the visual cortex.
ARTICLES
A mathematical approach to the connectivity between the cortical visual areas of the macaque monkey
Centre de Recherche Cerveau et Cognition-UMR 5549, Faculte de Medecine de Rangueil, Toulouse, France. jouve@cerco.ups-tlse.fr
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