Abstract
Combinatoric linguistic operations underpin human language processes, but how meaning is composed and refined in the mind of the reader is not well understood. We address this puzzle by exploiting the ubiquitous function of negation. We track the online effects of negation (“not”) and intensifiers (“really”) on the representation of scalar adjectives (e.g., “good”) in parametrically designed behavioral and neurophysiological (MEG) experiments. The behavioral data show that participants first interpret negated adjectives as affirmative and later modify their interpretation towards, but never exactly as, the opposite meaning. Decoding analyses of neural activity further reveal significant above chance decoding accuracy for negated adjectives within 600 ms from adjective onset, suggesting that negation does not invert the representation of adjectives (i.e., “not bad” represented as “good”); furthermore, decoding accuracy for negated adjectives is found to be significantly lower than that for affirmative adjectives. Overall, these results suggest that negation mitigates rather than inverts the neural representations of adjectives. This putative suppression mechanism of negation is supported by increased synchronization of beta-band neural activity in sensorimotor areas. The analysis of negation provides a steppingstone to understand how the human brain represents changes of meaning over time.
Funder
Leon Levy Foundation
Horizon 2020
Fondation Bettencourt Schueller
Philippe Foundation
FrontCog grant
National Science Foundation
Ernst Struengmann Foundation
Publisher
Public Library of Science (PLoS)
Reference93 articles.
1. Cortical tracking of hierarchical linguistic structures in connected speech;N Ding;Nat Neurosci,2015
2. Neural correlate of the construction of sentence meaning;E Fedorenko;Proc Natl Acad Sci U S A,2016
3. Modelling meaning composition from formalism to mechanism;AE Martin;Philos Trans R Soc Lond B Biol Sci,2019
4. The Cortical Organization of Syntax.;W Matchin;Cereb Cortex,2020
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