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

  • 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 recognition behavior, and is processed early in the visual processing stream, i.e., in V4 and before 200 ms after word-onset. Based on these findings, we propose that prior visual-orthographic knowledge is used to optimize the representation of visually presented words, which in turn allows for highly efficient reading processes.

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Author:Benjamin GaglORCiD, Jona SassenhagenORCiDGND, Sophia Haan, Klara GregorovaORCiD, Fabio RichlanORCiD, Christian FiebachORCiDGND
Parent Title (English):bioRxiv
Document Type:Preprint
Date of Publication (online):2020/03/09
Date of first Publication:2020/03/09
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2023/04/18
Page Number:69
Institutes:Psychologie und Sportwissenschaften / Psychologie
Angeschlossene und kooperierende Institutionen / MPI für Hirnforschung
Dewey Decimal Classification:1 Philosophie und Psychologie / 15 Psychologie / 150 Psychologie
Licence (German):License LogoCreative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International