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Cited by 248

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

EARLY COMMITMENT OF NEURAL SUBSTRATES FOR FACE RECOGNITION

Farah, Martha J., Rabinowitz, Carol, Quinn, Graham E., Liu, Grant T.·2000·Cognitive Neuropsychology

Abstract

We present evidence of a striking failure of plasticity in the neural substrates of face recognition, which suggests that the distinction between faces and other objects, and the localisation of faces relative to other objects, is fully determined prior to any postnatal experience. A boy who sustained brain damage at 1 day of age has the classic lesions and behavioural profile of adult-acquired prosopagnosia. He has profoundly impaired face recognition, whereas his recognition of objects is much less impaired. This implies that the human genome contains sufficiently explicit information about faces and nonface objects, or visual features by which they can be distinguished, that experience with these categories is not necessary for their functional delineation and differential brain localisation.

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Metadata

Authors
Farah, M. J., Rabinowitz, C., Quinn, G. E., & Liu, G. T.
Venue
Cognitive Neuropsychology
Published
2000-02
Volume
17
Issue
1-3
Pages
117-123
ISSN
  • 0264-3294 (ISSN-L)
  • 1464-0627
OpenAlex
W2151915433
Cited by
248
References
1
FWCI
6.60
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: EARLY COMMITMENT OF NEURAL SUBSTRATES FOR FACE RECOGNITION. https://app.cochat.ai/papers/10.1080/026432900380526
The paper
Farah, M. J., Rabinowitz, C., Quinn, G. E., & Liu, G. T. (2000). EARLY COMMITMENT OF NEURAL SUBSTRATES FOR FACE RECOGNITION. Cognitive Neuropsychology. https://doi.org/10.1080/026432900380526

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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.