Under-explored effects of structure on equivalence class formation: A commentary

The structure of an equivalence class is defined by class size, number of nodes per class, training directionality, and distributions of singles per node. Many experiments have documented how class formation is reliably influenced by class size and nodal number, and how training directionality inconsistently influences class formation. Only one experiment documented how distributions of singles influence class formation. This article proposes further explorations of the effects of training directionality and many distributions of singles on class formation. It also considers how the distribution of singles can account for class enhancement by meaningful stimuli, as well as linkages between equivalence classes and semantic networks.