The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Electrophysiological Signatures of Visual Lexical Processing: Open-and Closed-Class Words
Open accessAbstract
n This paper presents evidence of the disputed existence of an electrophysiological marker for the lexical-categorical distinction between open-and closed-class words. Event-related brain potentials were recorded from the scalp while subjects read a story. Separate waveforms were computed for open-and closed-class words. Two aspects of the waveforms could be reliably related to vocabulary class. The first was an early negativity in the 230-to 350-msec epoch, with a bilateral anterior predominance. This negativity was elicited by open-and closed-class words alike, was not affected by word frequency or word length, and had an earlier peak latency for closed-class words. The second was a frontal slow negative shift in the 350-to 500-msec epoch, largest over the left side of the scalp. This late negativity was only elicited by closed-class words. Although the early negativity cannot serve as a qualitative marker of the open-and closed-class distinction, it does reflect the earliest electrophysiological manifestation of the availability of categorical information from the mental lexicon. These results suggest that the brain honors the distinction between open-and closed-class words, in relation to the different roles that they play in on-line sentence processing.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Models of reading aloud: Dual-route and parallel-distributed-processing approaches.
Coltheart, M., Curtis, B., Atkins, P., & Haller, M. (1993) · Psychological Review · doi:10.1037//0033-295x.100.4.589 · Cited by 1,798
Cited by
Vigliocco, G., Vinson, D. P., Druks, J., Barber, H., & Cappa, S. F. (2011) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2010.04.007 · Cited by 594
Anticipation in turn-taking: mechanisms and information sources
Riest, C., Jorschick, A. B., & de Ruiter, J. P. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00089 · Cited by 145
L2 in a Nutshell: The Investigation of Second Language Processing in the Miniature Language Model
Mueller, J. L. (2006) · Language Learning · doi:10.1111/j.1467-9922.2006.00363.x · Cited by 32
Metadata
- Authors
- Brown, C. M., Hagoort, P., & Keurs, M. T.
- Venue
- Journal of Cognitive Neuroscience
- Publisher
- MIT Press - Journals
- Published
- 1999-05-01
- Volume
- 11
- Issue
- 3
- Pages
- 261-281
- ISSN
- 0898-929X (ISSN-L)
- 1530-8898
- OpenAlex
- W2137372817
- Cited by
- 164
- References
- 1
- FWCI
- 3.39
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Electrophysiological Signatures of Visual Lexical Processing: Open-and Closed-Class Words. https://app.cochat.ai/papers/10.1162/089892999563382
- The paper
- Brown, C. M., Hagoort, P., & Keurs, M. T. (1999). Electrophysiological Signatures of Visual Lexical Processing: Open-and Closed-Class Words. Journal of Cognitive Neuroscience. https://doi.org/10.1162/089892999563382
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.