An orthographic prediction error as the basis for efficient visual word recognition.

ABSTRACT: Most current models assume that the perceptual and cognitive processes of visual word recognition and reading operate upon neuronally coded domain-general low-level visual representations - typically oriented line representations. We here demonstrate, consistent with neurophysiological theories of Bayesian-like predictive neural computations, that prior visual knowledge of words may be utilized to 'explain away' redundant and highly expected parts of the visual percept. Subsequent processing stages, accordingly, operate upon an optimized representation of the visual input, the orthographic prediction error, highlighting only the visual information relevant for word identification. We show that this optimized representation is related to orthographic word characteristics, accounts for word

SUBMITTER: Gagl B 

PROVIDER: S-EPMC7284316 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature