The DOI matches its Crossref record.
The Neurocognition of Language
Abstract
This book brings together experts on human language and the brain to present the first critical overview of the cognitive neuroscience of language, one of the fastest-moving areas today. In-depth discussion of the representations and structures of language, as well as of the cognitive architectures which underlie speaking, listening, and reading, will provide a basis for future brain imaging research. In addition, the existing brain imaging literature on word and sentence processing is critically reviewed, as well as contributions from brain lesion data. Finally, the book discusses the prospects and problems of brain imaging techniques for the study of language, presents some of the most recent and promising analytic procedures for relating brain imaging data to the higher cognitive functions, and contains a review of the neuroanatomical structure of Broca's language area.
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
Cited by
The spatial and temporal signatures of word production components
Indefrey, P., & Levelt, W. J. M. (2004) · Cognition · doi:10.1016/j.cognition.2002.06.001 · Cited by 2,144
On Broca, brain, and binding: A new framework
Hagoort, P. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.07.004 · Cited by 1,411
Word Knowledge in a Theory of Reading Comprehension
Perfetti, C., & Stafura, J. (2014) · Scientific Studies of Reading · doi:10.1080/10888438.2013.827687 · Cited by 1,362
Does the brain have a baseline? Why we should be resisting a rest
Morcom, A. M., & Fletcher, P. C. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.013 · Cited by 369
TASK REPETITION AND SECOND LANGUAGE SPEECH PROCESSING
Lambert, C., Kormos, J., & Minn, D. (2017) · Studies in Second Language Acquisition · doi:10.1017/s0272263116000085 · Cited by 281
Metadata
- Venue
- Oxford University Press eBooks
- Publisher
- Oxford University Press
- Published
- 2000-07-20
- OpenAlex
- W4231588747
- Cited by
- 590
- References
- 0
- FWCI
- 9.23
- Type
- book
- Language
- en
- Open access
- closed
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: The Neurocognition of Language. https://app.cochat.ai/papers/10.1093/acprof:oso/9780198507932.001.0001
- The paper
- The Neurocognition of Language. (2000). Oxford University Press eBooks. https://doi.org/10.1093/acprof%3Aoso/9780198507932.001.0001
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.