Although Humphreys & Forde's HIT provides a comprehensive account of category-specific deficits, standard models of categorization and identification may also be able to explain many aspects of such deficits. The assumptions of an exemplar-based account of category- specific deficits are presented, and it is argued that exemplar models may be able to explain key findings on impaired object identification and categorization.

It is argued that feature creation may not only depend on categorical distinctions that are made during category learning, but also on the choice set during subsequent categorization.