Real-time Functional Architecture of Visual Word Recognition
Författare
Summary, in English
Despite a century of research into visual word recognition, basic questions remain unresolved about the functional architecture of the process that maps visual inputs from orthographic analysis onto lexical form and meaning and about the units of analysis in terms of which these processes are conducted. Here we use magnetoencephalography, supported by a masked priming behavioral study, to address these questions using contrasting sets of simple (walk), complex (swimmer), and pseudo-complex (corner) forms. Early analyses of orthographic structure, detectable in bilateral posterior temporal regions within a 150-230msec time frame, are shown to segment the visual input into linguistic substrings (words and morphemes) that trigger lexical access in left middle temporal locations from 300 msec. These are primarily feedforward processes and are not initially constrained by lexical-level variables. Lexical constraints become significant from 390 msec, in both simple and complex words, with increased processing of pseudowords and pseudo-complex forms. These results, consistent with morpho-orthographic models based on masked priming data, map out the real-time functional architecture of visual word recognition, establishing basic feedforward processing relationships between orthographic form, morphological structure, and lexical meaning.
Avdelning/ar
Publiceringsår
2015
Språk
Engelska
Sidor
246-265
Publikation/Tidskrift/Serie
Journal of Cognitive Neuroscience
Volym
27
Issue
2
Dokumenttyp
Artikel i tidskrift
Förlag
MIT Press
Ämne
- General Language Studies and Linguistics
Status
Published
ISBN/ISSN/Övrigt
- ISSN: 1530-8898