Grammatical predictors for fMRI time-courses
Keyword(s):
This study examines several different time-series formalizations of sentence-processing effort, as regards their ability to predict the observed fMRI time-course in regions of the brain. These regressors formalize cognitive theories of language processing involving phrase structure parsing, memory burden, lexical meaning, and other factors such as word sequence probabilities. The results suggest that even in the presence of these covariates, a predictor based on minimalist grammars significantly improves a regression model of the BOLD signal in a posterior temporal region, roughly corresponding to Wernicke’s area.
Seeing the Same Words Differently: The Time Course of Automaticity and Top–Down Intention in Reading
2015 ◽
Vol 27
(8)
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pp. 1542-1551
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Keyword(s):
Top Down
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2004 ◽
Vol 16
(2)
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pp. 167-177
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1992 ◽
Vol 12
(4)
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pp. 535-545
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Keyword(s):
2018 ◽
Vol 36
(1)
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pp. 14-20
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Keyword(s):