Data for ‘Computational Complexity Explains Neural Differences in Quantifier Verification’

DOI

Different classes of quantifiers provably require different verification algorithms with different complexity profiles. The algorithm for proportional quantifiers, like most', is more complex than that for nonproportional quantifiers, likeall' and `three'. We tested the hypothesis that different complexity profiles affect ERP responses during sentence verification, but not during sentence comprehension. In experiment 1, participants had to determine the truth value of a sentence relative to a previously presented array of geometric objects. We observed a sentence-final negative effect of truth value, modulated by quantifier class. Proportional quantifiers elicited a sentence-internal positivity compared to nonproportional quantifiers, in line with their different verification profiles. In experiment 2, the same stimuli were shown, followed by comprehension questions instead of verification. ERP responses specific to proportional quantifiers disappeared in experiment 2, suggesting that they are only evoked in a verification task and thus reflect the verification procedure itself. The present dataset contains behavioural and EEG data from both experiments, as well as analysis scripts for both data types in R and Matlab/FieldTrip.

Identifier
DOI https://doi.org/10.18710/M6VT6Z
Related Identifier IsCitedBy https://doi.org/10.1016/j.cognition.2022.105013
Metadata Access https://dataverse.no/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18710/M6VT6Z
Provenance
Creator Bremnes, Heming Strømholt ORCID logo
Publisher DataverseNO
Contributor Bremnes, Heming Strømholt; Baggio, Giosuè; NTNU – Norwegian University of Science and Technology
Publication Year 2021
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Bremnes, Heming Strømholt (NTNU – Norwegian University of Science and Technology); Baggio, Giosuè (NTNU – Norwegian University of Science and Technology)
Representation
Resource Type Behavioral and EEG data from human language processing experiments.; Dataset
Format text/plain; type/x-r-syntax; application/vnd.openxmlformats-officedocument.spreadsheetml.sheet; application/zip; application/matlab-mat
Size 5426; 522; 513; 1187; 231785; 790; 309887; 3826; 6872383938; 8675467381; 173222611; 173366275; 589; 4419; 12050; 3138
Version 1.2
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Humanities; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences