The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
An anterior temporal face patch in human cortex, predicted by macaque maps
Open accessAbstract
Increasing evidence suggests that primate visual cortex has a specialized architecture for processing discrete object categories such as faces. Human fMRI studies have described a localized region in the fusiform gyrus [the fusiform face area (FFA)] that responds selectively to faces. In contrast, in nonhuman primates, electrophysiological and fMRI studies have instead revealed 2 apparently analogous regions of face representation: the posterior temporal face patch (PTFP) and the anterior temporal face patch (ATFP). An earlier study suggested that human FFA is homologous to the PTFP in macaque. However, in humans, no obvious homologue of the macaque ATFP has been demonstrated. Here, we used fMRI to map face-selective sites in both humans and macaques, based on equivalent stimuli in a quantitative topographic comparison. This fMRI evidence suggests that such a face-selective area exists in human anterior inferotemporal cortex, comprising the apparent homologue of the fMRI-defined ATFP in macaques.
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Cites
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“A wide range of noninvasive techniques, including PET, fMRI, ERP, and MEG have shown that FFA responds selectively to images of faces, relative to a wide variety of control objects (1-7).”
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Cited by
Mapping Human Cortical Areas In Vivo Based on Myelin Content as Revealed by T1- and T2-Weighted MRI
Glasser, M. F., & Van Essen, D. C. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.2180-11.2011 · Cited by 1,447
Functional specificity in the human brain: a window into the functional architecture of the mind
Kanwisher, N. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1005062107 · Cited by 929
Unraveling the distributed neural code of facial identity through spatiotemporal pattern analysis
Nestor, A., Plaut, D. C., & Behrmann, M. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1102433108 · Cited by 288
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An ecologically motivated image dataset for deep learning yields better models of human vision
Mehrer, J., Spoerer, C. J., Jones, E. C., Kriegeskorte, N., & Kietzmann, T. C. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2011417118 · Cited by 140
Metadata
- Authors
- Rajimehr, R., Young, J. C., & Tootell, R. B. H.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2009-02-10
- Volume
- 106
- Issue
- 6
- Pages
- 1995-2000
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2119597959
- Cited by
- 295
- References
- 51
- FWCI
- 9.14
- Type
- journal article
- Language
- en
- Open access
- green
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