Skip to main content
. 2021 Jul 21;15:686239. doi: 10.3389/fncom.2021.686239

FIGURE 1.

FIGURE 1

Convergence in the visual system. (Right) Convergence in the ventral stream cortical hierarchy for object recognition. LGN, lateral geniculate nucleus; V1, visual cortex area V1; TEO, posterior inferior temporal cortex; TE, anterior inferior temporal cortex (IT). (Left) Convergence as implemented in VisNet, the model of invariant visual object recognition described here. Convergence through the hierarchical feedforward network is designed to provide Layer 4 neurons with information from across the entire input retina, by providing an increase of receptive field size of 2.5 times at each stage. Layer 1 of the VisNet model corresponds to V2 in the brain, and Layer 4 to the anterior inferior temporal visual cortex (TE). In this paper ‘Layer’ with a capital L indicates a Layer of a neuronal network which may correspond to a brain region as here. This is distinct from the 6 architectonic layers in neocortex, designated here with a small letter l in ‘layer’.