Visual cortex as a depth computer: Grossberg's LAMINART or how we see the world in depth
Résumé
The laminar structure of cortex was first described by Ramón y Cajal (1899). It consists of six different layers, each containing a characteristic distribution of neurons and cell types connecting with other cortical and sub-cortical regions. These extensive connections form microcircuits that group into functionally distinct columns (e.g. Mountcastle, 1997). To account for the Venetian Blind Effect, Cao and Grossberg propose a model which exploits the functional organization of visual cortex, in particular the selective firing activities of visual cortical neurons responding to the orientation and/or the luminance contrast of surface boundaries, demonstrated first by Hubel & Wiesel (1959 and 1962).
Domaines
Sciences cognitives
Origine : Fichiers produits par l'(les) auteur(s)
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