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The Neuroscientist
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Quantitative Analysis of Connectivity in the Visual Cortex: Extracting Function from Structure

Julien Vezoli

Cerveau et Vision, INSERM U371, IFNL, Université Claude Bernard Lyon I, Bron, France

Arnaud Falchier

Cerveau et Vision, INSERM U371, IFNL, Université Claude Bernard Lyon I, Bron, France

Bertrand Jouve

Departement de Mathématiques et Informatique, UFR SES, Université Toulouse le Mirail, France

Kenneth Knoblauch

Cerveau et Vision, INSERM U371, IFNL, Université Claude Bernard Lyon I, Bron, France

Malcolm Young

Department of Psychology, University of Newcastle upon Tyne, Claremont Place, Newcastle upon Tyne, UK

Henry Kennedy

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)
DOI: 10.1177/1073858404268478
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