The neural viewpoint

From a neural viewpoint, an architecture for learning is biologically inspired. The human brain has deep architecture, in which the cortex seems to have a generic learning approach. A given input is perceived at multiple levels of abstraction. Each level corresponds to a different area of the cortex. We process information in hierarchical ways, with multi-level transformation and representation. Therefore, we learn simple concepts first then compose them together. This structure of understanding can be seen clearly in a human’s vision system. As shown in the following figure, Signal path from the retina to human lateral occipital cortex (LOC), which finally recognizes the object, the ventral visual cortex comprises a set of areas that process images in increasingly more abstract ways, from edges, corners and contours, shapes, object parts to object, allowing us to learn, recognize, and categorize three-dimensional objects from arbitrary two-dimensional views: