Seeking the neural representation of statistical properties in print during implicit processing of visual words.

ABSTRACT: Statistical learning (SL) plays a key role in literacy acquisition. Studies have increasingly revealed the influence of distributional statistical properties of words on visual word processing, including the effects of word frequency (lexical level) and mappings between orthography, phonology, and semantics (sub-lexical level). However, there has been scant evidence to directly confirm that the statistical properties contained in print can be directly characterized by neural activities. Using time-resolved representational similarity analysis (RSA), the present study examined neural representations of different types of statistical properties in visual word processing. From the perspective of predictive coding, an equal probability sequence with low built-in prediction precision and three

SUBMITTER: Liu J 

PROVIDER: S-EPMC10724295 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature