It's not misleading because they were careful to point out that these 6 'layers' have nothing in common with how layers are defined in Neural networks. In Neura

It's not misleading because they were careful to point out that these 6 'layers' have nothing in common with how layers are defined in Neural networks. In Neural nets, layers are effectively subgraphs that are bipartite. They can also be computational stages in some networks like convolutional. The brain's layers are both much more loose in their allowed interconnections but also more modular in their functionality. There are different visual areas (usually 5) at different locations of the neocortex that connect to each other (feedforward and back) in complex ways. As residents of the neocortex, each visual area will thus have 6 layers which are in turn dividable into sublayers (often 1 - 4). These layers are structural but are also partially organizational tools for the scientists.