Abstract Property-selective Clusters Link Continuous Property Representations to Discrete Category-selective Regions in Human Higher Visual Cortex.
A "property-cluster-category" organization is proposed that bridges object conceptual dimensions and discrete category areas in the HVC and is suggested that abstract visual properties-which shape this topological organization-can be learned in part from statistical regularities in visual input.