Learning a model of shape selectivity in V4 cells reveals shape encoding mechanisms in the brain. (arXiv:2111.14250v3 [q-bio.NC] UPDATED)

The mechanisms involved in transforming early visual signals to curvature
representations in V4 are unknown. We propose a hierarchical model that reveals
V1/V2 encodings that are essential components for this transformation to the
reported curvature representations in V4. Then, by relaxing the often-imposed
prior of a single Gaussian, V4 shape selectivity is learned in the last layer
of the hierarchy from Macaque V4 responses. We found that V4 cells integrate
multiple shape parts from the full spatial extent of their …

arxiv bio brain cells encoding learning