The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
The cortical organization of lexical knowledge: A dual lexicon model of spoken language processing
Open accessAbstract
Current accounts of spoken language assume the existence of a lexicon where wordforms are stored and interact during spoken language perception, understanding and production. Despite the theoretical importance of the wordform lexicon, the exact localization and function of the lexicon in the broader context of language use is not well understood. This review draws on evidence from aphasia, functional imaging, neuroanatomy, laboratory phonology and behavioral results to argue for the existence of parallel lexica that facilitate different processes in the dorsal and ventral speech pathways. The dorsal lexicon, localized in the inferior parietal region including the supramarginal gyrus, serves as an interface between phonetic and articulatory representations. The ventral lexicon, localized in the posterior superior temporal sulcus and middle temporal gyrus, serves as an interface between phonetic and semantic representations. In addition to their interface roles, the two lexica contribute to the robustness of speech 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
The cortical organization of speech processing
Hickok, G., & Poeppel, D. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2113 · Cited by 5,495
Where do you know what you know? The representation of semantic knowledge in the human brain
Patterson, K., Nestor, P. J., & Rogers, T. T. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2277 · Cited by 2,706
Understanding normal and impaired word reading: Computational principles in quasi-regular domains.
Plaut, D. C., McClelland, J. L., Seidenberg, M. S., & Patterson, K. (1996) · Psychological Review · doi:10.1037/0033-295x.103.1.56 · Cited by 2,698
The neural correlates of the verbal component of working memory
Paulesu, E., Frith, C. D., & Frackowiak, R. S. J. (1993) · Nature · doi:10.1038/362342a0 · Cited by 2,230 · cited 2×
“, 1994) and impaired phonological working memory (Paulesu et al., 1993).”
BackgroundHickok, G., & Poeppel, D. (2004) · Cognition · doi:10.1016/j.cognition.2003.10.011 · Cited by 2,212
Perisylvian language networks of the human brain
Catani, M., Jones, D. K., & ffytche, D. H. (2005) · Annals of Neurology · doi:10.1002/ana.20319 · Cited by 1,832 · cited 4×
“These areas appear to be connected by the arcuate fasciculus (Petrides & Pandya, 1988; Catani et al., 2005), and/or the extreme capsule (Makris & Pandya, 2008), and show functional connectivity in morphological processing (Stamatakis et al.”
BackgroundInfluentialStructural plasticity in the bilingual brain
Mechelli, A., Crinion, J. T., Noppeney, U., O'Doherty, J., Ashburner, J., Frackowiak, R. S., & Price, C. J. (2004) · Nature · doi:10.1038/431757a · Cited by 1,005
Separate neural subsystems within ‘Wernicke's area’
Wise, R. J. S., Scott, S. K., Blank, S. C., Mummery, C. J., Murphy, K., & Warburton, E. A. (2001) · Brain · doi:10.1093/brain/124.1.83 · Cited by 572
Demonstrating the implicit processing of visually presented words and pseudowords
Price, C. J., Wise, R. J. S., & Frackowiak, R. S. J. (1996) · Cerebral Cortex · doi:10.1093/cercor/6.1.62 · Cited by 544
The role of segmentation in phonological processing: an fMRI investigation
Burton, M. W., Small, S. L., & Blumstein, S. E. (2000) · Journal of Cognitive Neuroscience · doi:10.1162/089892900562309 · Cited by 378
Cited by
Keitel, A., Gross, J., & Kayser, C. (2018) · PLOS Biology · doi:10.1371/journal.pbio.2004473 · Cited by 312
Prediction, Bayesian inference and feedback in speech recognition
Norris, D., McQueen, J. M., & Cutler, A. (2016) · Language, Cognition and Neuroscience · doi:10.1080/23273798.2015.1081703 · Cited by 170
Damage to Broca’s area does not contribute to long-term speech production outcome after stroke
Gajardo-Vidal, A., Lorca-Puls, D. L., team, P., Warner, H., Pshdary, B., Crinion, J. T., Leff, A. P., Hope, T. M. H., Geva, S., Seghier, M. L., et al. (2021) · Brain · doi:10.1093/brain/awaa460 · Cited by 150
Metadata
- Authors
- Gow, D. W.
- Venue
- Brain and Language
- Publisher
- Elsevier BV
- Published
- 2012-06
- Volume
- 121
- Issue
- 3
- Pages
- 273-288
- ISSN
- 0093-934X (ISSN-L)
- OpenAlex
- W2101194178
- Cited by
- 213
- References
- 14
- FWCI
- 7.68
- Type
- journal article
- Language
- en
- Open access
- green
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 cortical organization of lexical knowledge: A dual lexicon model of spoken language processing. https://app.cochat.ai/papers/10.1016/j.bandl.2012.03.005
- The paper
- Gow, D. W. (2012). The cortical organization of lexical knowledge: A dual lexicon model of spoken language processing. Brain and Language. https://doi.org/10.1016/j.bandl.2012.03.005
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.