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An orthographic prediction error as the basis for efficient visual word recognition
In: Neuroimage (2020)
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 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.
Keyword: Article
URL: https://doi.org/10.1016/j.neuroimage.2020.116727
http://www.ncbi.nlm.nih.gov/pubmed/32173410
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7284316/
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2
Electroencephalography Dataset From A Visual-Scene And Auditory-Linguistic N400 Study ...
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Electroencephalography Dataset From A Visual-Scene And Auditory-Linguistic N400 Study ...
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Electroencephalography Dataset From A Visual-Scene And Auditory-Linguistic N400 Study ...
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5
How to analyse electrophysiological responses to naturalistic language with time-resolved multiple regression ...
Sassenhagen, Jona. - : Taylor & Francis, 2018
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6
How to analyse electrophysiological responses to naturalistic language with time-resolved multiple regression ...
Sassenhagen, Jona. - : Taylor & Francis, 2018
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7
Domain-general neural correlates of dependency formation: Using complex tones to simulate language
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raw data - Domain-general neural correlates of dependency formation: using complex tones to simulate language ...
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Domain-general neural correlates of dependency formation: using complex tones to simulate language ...
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raw data - Domain-general neural correlates of dependency formation: using complex tones to simulate language ...
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Domain-general neural correlates of dependency formation: using complex tones to simulate language ...
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raw data - Domain-general neural correlates of dependency formation: using complex tones to simulate language ...
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13
Reliability of gamma activity during semantic integration ...
Alday, Phillip M.; Sassenhagen, Jona. - : figshare, 2016
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14
Neural signatures of incremental text processing correlate with word entropy in a natural story context ...
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15
Tracking the emergence of meaning in the brain during natural story comprehension ...
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16
Reliability of gamma activity during semantic integration ...
Alday, Phillip M.; Sassenhagen, Jona. - : figshare, 2016
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17
Wait for it: Predicted Error vs. Prediction Error in Language Processing ...
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18
Confound and control in language experiments ...
Alday, Phillip M.; Sassenhagen, Jona. - : figshare, 2016
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19
Neural signatures of incremental text processing correlate with word entropy in a natural story context ...
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20
Tracking the emergence of meaning in the brain during natural story comprehension ...
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