What's in a Color?: Language, Synesthesia, and Categorical Perception

Abstract

Studies on synesthesia have revealed some advantages on discrimination, categorization, and identification tasks. There have also been studies on language's ability to boost performance on these same tasks. Are these two effects related? In this paper, I argue that a plausible explanation of language's ability to boost performance on such tasks can be extended to synesthesia. In particular, I argue that category labels can reveal trends in perceptual data that allow for representational space to be dimensionally reduced. The transformation of representational space makes representations more categorical, facilitating lexical access and ultimately boosting performance in categorization, identification, and discrimination tasks. This account can be extended to explain how synesthetic color associations boost performance. Synesthetic colors also reveal trends in perceptual data that allow for dimensional transformation. The upshots of such a hypothesis are several. For one, it helps explain synesthesia's cognitive advantages. I supply experimental designs to test predictions made by the account. Second, and more broadly, this account extends cases of nonlinguistic categorical effects on representations. I close with a discussion of some implications for the debate over language and thought.