The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Neural Specialization for Letter Recognition
Abstract
Functional magnetic resonance imaging (fMRI) was used to estimate neural activity while subjects viewed strings of consonants, digits, and shapes. An area on or near the left fusiform gyrus was found that responded significantly more to letters than digits. Similar results were obtained when consonants were used whose visual features were matched with the digits and when an active matching task was used, suggesting that the results cannot be easily attributed to artifacts of the stimuli or task. These results demonstrate that neural specialization in the human brain can extend to a category of stimuli that is culturally defined and that is acquired many years postnatally.
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Citations
Cites
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Cited by
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Metadata
- Authors
- Polk, T. A., Stallcup, M., Aguirre, G. K., Alsop, D. C., D'Esposito, M., Detre, J. A., & Farah, M. J.
- Venue
- Journal of Cognitive Neuroscience
- Publisher
- MIT Press - Journals
- Published
- 2002-02
- Volume
- 14
- Issue
- 2
- Pages
- 145-159
- ISSN
- 0898-929X (ISSN-L)
- 1530-8898
- OpenAlex
- W2118279786
- Cited by
- 263
- References
- 14
- FWCI
- 35.70
- Type
- journal article
- Language
- en
- Open access
- closed
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- Polk, T. A., Stallcup, M., Aguirre, G. K., Alsop, D. C., D'Esposito, M., Detre, J. A., & Farah, M. J. (2002). Neural Specialization for Letter Recognition. Journal of Cognitive Neuroscience. https://doi.org/10.1162/089892902317236803
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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.
