This study aims to investigate the visual processing of the nonamblyopic eye in order to gain insights into the specific functional level at which amblyopia impacts its functioning. We used a paradigm that can measure the visual processing of different geometric functional hierarchy. When a form undergoes transformations, some properties change while others remain the same. Properties with relatively high shape stability are more prone to remain invariant under transformations. Shape stability, as defined by Klein in the Erlangen Program, encompasses various levels of invariance of geometric properties under different transformations, thus providing a mathematical framework for shape stability. For instance, when a square is transformed into a diamond by altering its side length and angles, the Euclidean properties change. However, the parallel attributes of the opposite sides remain unaffected, thereby preserving the affine properties. This example shows that affine properties exhibit higher stability compared to Euclidean properties. If we stretch or bend the four sides of a square arbitrarily, or even transform it into an ellipse, its Euclidean, affine, and projective properties may change, however, as long as we do not tear it apart, the topological properties remain unchanged. Hence, topological geometry has the highest stability. According to Klein's Erlangen Program in mathematics, Euclidean geometry, affine geometry, projective geometry, and topological geometry represent a progression of shape stability levels from low to high. These geometric functional levels not only have mathematical basis, but also have been shown to be the hierarchical levels of information processed by the human visual system.
21–23 For instance, Zhuo et al.
21 observed in their functional magnetic resonance imaging (fMRI) study that the activation level of the object recognition region in the anterior temporal lobe corresponded closely with Klein's geometric functional hierarchy, with topological differences eliciting the greatest activation, followed by projective, affine, and Euclidean differences. Another study, by Meng et al.,
23 revealed that age-related deterioration primarily affects Euclidean discrimination, followed by affine and projective discrimination, whereas topological discrimination remains largely unaffected. These findings suggest that topological properties represent the fundamental characteristics of objects, highlighting the unique role of topological perception in visual processing. Chen
24 has proposed a theory of topological perception, holding that topological properties describe the global characteristics of objects, while other geometric properties, such as Euclidean, affine, and projective properties, are local properties. The extraction of global topological properties is the basis of object representation. Chen
25 first discovered that compared with other local geometric property perception, human perception of topological properties is the most sensitive and rapid. A large amount of subsequent experimental evidence demonstrates that the visual systems of humans, mice, and even honey bees are all more sensitive to topological properties than other local attributes, reflecting the characteristic of “topological priority.”
24,26–30 Additionally, rapid extraction of topological properties has shown to be beneficial for the subsequent processing of other local properties.
28 Furthermore, a series of studies conducted on both humans and mice have demonstrated that the prioritization of topological properties is attributed to the rapid processing through a subcortical pathway, whereas other local properties are predominantly processed via the classical cortical visual pathway.
31–33 Therefore, the geometric functional hierarchy with global and local properties provides a unique approach for examining various levels of visual function.