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Selective visual streaming in face recognition: evidence from developmental prosopagnosia
Abstract
Computational considerations suggest that efficient face identification requires the categorization and exclusive streaming of previously encoded face visual primitives into a dedicated face recognition system. Unique evidence supporting this claim is provided by a rare case of developmental pure prosopagnosia with otherwise normal visual and cognitive functions. Despite his normal visual memory and ability to describe faces, he is extremely impaired in face recognition. An early event related brain potential (N170) that is normally elicited exclusively by human faces, showed no specificity in this person. MRI revealed a smaller then normal right temporal lobe. These data emphasize the indispensability of the early streaming process for face recognition.
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“Humans are easily able to acquire huge amounts of biologically primary knowledge outside of educational contexts and without a discernible working memory load.”
From An Evolutionary Upgrade of Cognitive Load Theory: Using the Human Motor System and Collaboration to Support the Learning of Complex Cognitive Tasks (2012) · cites this paper as Bentin et al. 1999
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Metadata
- Authors
- Bentin, S., Deouell, L. Y., & Soroker, N.
- Affiliations
- Hebrew University of Jerusalem (IL)
- Loewenstein Hospital Rehabilitation Center (IL)
- Venue
- NeuroReport
- Published
- 1999-03
- Volume
- 10
- Issue
- 4
- Pages
- 823-827
- ISSN
- 0959-4965 (ISSN-L)
- OpenAlex
- W2060336835
- Cited by
- 233
- References
- 15
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 2 · 2023: 3 · 2022: 2 · 2021: 4 · 2020: 7 · 2019: 6 · 2018: 4 · 2017: 7 · 2016: 12 · 2015: 15 · 2014: 9 · 2013: 8 · 2012: 16
- FWCI
- 4.63
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neuroreport (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face and Expression Recognition
- Keywords
- face recognition (cognition), prosopagnosia, N170, event-related potentials, right temporal lobe, face memory, visual categorization, case studies
- MeSH terms
- Adult, Cognition, Electroencephalography, Evoked Potentials, Face, Humans, Magnetic Resonance Imaging, Male, Memory Disorders, Temporal Lobe
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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 ›
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