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Quantitative Analysis of Connectivity in the Visual Cortex: Extracting Function from StructureCerveau et Vision, INSERM U371, IFNL, Université Claude Bernard Lyon I, Bron, France
Cerveau et Vision, INSERM U371, IFNL, Université Claude Bernard Lyon I, Bron, France
Departement de Mathématiques et Informatique, UFR SES, Université Toulouse le Mirail, France
Cerveau et Vision, INSERM U371, IFNL, Université Claude Bernard Lyon I, Bron, France
Department of Psychology, University of Newcastle upon Tyne, Claremont Place, Newcastle upon Tyne, UK
Cerveau et Vision, INSERM U371, IFNL, Université Claude Bernard Lyon I, Bron, France, kennedy{at}lyon.inserm.fr It is generally agreed that information flow through the cortex is constrained by a hierarchical architecture. Lack of precise data on areal connectivity leads to indeterminacy of existing models. The authors introduce two quantitative parameters (SLN and FLN) that hold the promise of resolving such indeterminacy. In the visual system, using a very incomplete database, provisional hierarchies are in line with the recent proposal of higher functions of area V1 and suggest a hitherto unsuspected central function of the frontal eye field.
Key Words: Model Primate Connectivity Vision
The Neuroscientist, Vol. 10, No. 5,
476-482 (2004) This article has been cited by other articles:
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