Figure 1.

The dimension reduction framework. In the dimension reduction framework, the visual cortex is modeled as a two-dimensional sheet that twists in a higher-dimensional stimulus (or feature) space to cover it as uniformly as possible while minimizing some measure of continuity (left). In this way, it represents a mapping from the cortical surface to the manifold of visual stimulus features such as orientation and retinotopy (right).