The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Evidence for Highly Selective Neuronal Tuning to Whole Words in the “Visual Word Form Area”
Open accessAbstract
Summary Theories of reading have posited the existence of a neural representation coding for whole real words (i.e. an orthographic lexicon), but experimental support for such a representation has proved elusive. Using fMRI rapid adaptation techniques, we provide evidence that the human left ventral occipitotemporal cortex (specifically the “visual word form area”, VWFA) contains a representation based on neurons highly selective for individual real words, in contrast to current theories that posit a sublexical representation in the VWFA.
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
Repetition and the brain: neural models of stimulus-specific effects
Grill-Spector, K., Henson, R., & Martin, A. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.11.006 · Cited by 2,256
‘What’ and ‘where’ in the human brain
Ungerleider, L. G., & Haxby, J. V. (1994) · Current Opinion in Neurobiology · doi:10.1016/0959-4388(94)90066-3 · Cited by 1,913 · cited 2×
“…studies (Dehaene et al., 2004; Vinckier et al., 2007) have provided evidence for a hierarchical organization in the ventral visual pathway (Ungerleider and Haxby, 1994) for the visual word form, leading to the proposal that running posterior to anterior along this pathway, neurons are…”
BackgroundCerebral mechanisms of word masking and unconscious repetition priming
Dehaene, S., Naccache, L., Cohen, L., Bihan, D. L., Mangin, J.-F., Poline, J.-B., & Rivière, D. (2001) · Nature Neuroscience · doi:10.1038/89551 · Cited by 1,305
Language‐specific tuning of visual cortex? Functional properties of the Visual Word Form Area
Cohen, L., Lehéricy, S., Chochon, F., Lemer, C., Rivaud, S., & Dehaene, S. (2002) · Brain · doi:10.1093/brain/awf094 · Cited by 1,254 · cited 8×
“This figure also shows some right hemisphere activation , which is common in some subjects (Baker et al., 2007; Cohen et al., 2002) and has been shown to be less selective (Vinckier et al., 2007).”
BackgroundMethodInfluentialShape representation in the inferior temporal cortex of monkeys
Logothetis, N. K., Pauls, J., & Poggio, T. (1995) · Current Biology · doi:10.1016/s0960-9822(95)00108-4 · Cited by 963
Letter Binding and Invariant Recognition of Masked Words: Behavioral and Neuroimaging Evidence
Dehaene, S., Jobert, A., Naccache, L., Ciuciu, P., Poline, J.-B., Le Bihan, D., & Cohen, L. (2004) · Psychological Science · doi:10.1111/j.0956-7976.2004.00674.x · Cited by 356
Kronbichler, M., Hutzler, F., Wimmer, H., Mair, A., Staffen, W., & Ladurner, G. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.10.021 · Cited by 329
Neuroimaging studies of word and pseudoword reading: consistencies, inconsistencies, and limitations
Mechelli, A., Gorno-Tempini, M. L., & Price, C. J. (2003) · Journal of Cognitive Neuroscience · doi:10.1162/089892903321208196 · Cited by 315
Tuning of the human left fusiform gyrus to sublexical orthographic structure
Binder, J. R., Medler, D. A., Westbury, C. F., Liebenthal, E., & Buchanan, L. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.06.053 · Cited by 286 · cited 10×
“In summary, our results therefore provide strong support for theories of experience-driven plasticity of the neural representations underlying reading (Baker et al., 2007; Binder et al., 2006; Dehaene et al., 2005; Vinckier et al., 2007), establishing that this learning does not just apply to lower-level representatio…”
BackgroundResultInfluential
Cited by
Price, C. J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.04.062 · Cited by 2,159
The Interactive Account of ventral occipitotemporal contributions to reading
Price, C. J., & Devlin, J. T. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.04.001 · Cited by 720
Illiterate to literate: behavioural and cerebral changes induced by reading acquisition
Dehaene, S., Cohen, L., Morais, J., & Kolinsky, R. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3924 · Cited by 716
The spatial coding model of visual word identification.
Davis, C. J. (2010) · Psychological Review · doi:10.1037/a0019738 · Cited by 490
Phoneme and word recognition in the auditory ventral stream
DeWitt, I., & Rauschecker, J. P. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1113427109 · Cited by 465
Metadata
- Authors
- Glezer, L. S., Jiang, X., & Riesenhuber, M.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2009-04
- Volume
- 62
- Issue
- 2
- Pages
- 199-204
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W2037380242
- Cited by
- 294
- References
- 9
- FWCI
- 31.72
- 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: Evidence for Highly Selective Neuronal Tuning to Whole Words in the “Visual Word Form Area”. https://app.cochat.ai/papers/10.1016/j.neuron.2009.03.017
- The paper
- Glezer, L. S., Jiang, X., & Riesenhuber, M. (2009). Evidence for Highly Selective Neuronal Tuning to Whole Words in the “Visual Word Form Area”. Neuron. https://doi.org/10.1016/j.neuron.2009.03.017
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.