The lexical categorization model: A computational model of left ventral occipito-temporal cortex activation in visual word recognition.

ABSTRACT: To characterize the functional role of the left-ventral occipito-temporal cortex (lvOT) during reading in a quantitatively explicit and testable manner, we propose the lexical categorization model (LCM). The LCM assumes that lvOT optimizes linguistic processing by allowing fast meaning access when words are familiar and filtering out orthographic strings without meaning. The LCM successfully simulates benchmark results from functional brain imaging described in the literature. In a second evaluation, we empirically demonstrate that quantitative LCM simulations predict lvOT activation better than alternative models across three functional magnetic resonance imaging studies. We found that word-likeness, assumed as input into a lexical categorization process, is represented posteriorly to lvO

SUBMITTER: Gagl B 

PROVIDER: S-EPMC9182256 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature