The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Rapid categorization of natural face images in the infant right hemisphere
Open accessAbstract
Human performance at categorizing natural visual images surpasses automatic algorithms, but how and when this function arises and develops remain unanswered. We recorded scalp electrical brain activity in 4–6 months infants viewing images of objects in their natural background at a rapid rate of 6 images/second (6 Hz). Widely variable face images appearing every 5 stimuli generate an electrophysiological response over the right hemisphere exactly at 1.2 Hz (6 Hz/5). This face-selective response is absent for phase-scrambled images and therefore not due to low-level information. These findings indicate that right lateralized face-selective processes emerge well before reading acquisition in the infant brain, which can perform figure-ground segregation and generalize face-selective responses across changes in size, viewpoint, illumination as well as expression, age and gender. These observations made with a highly sensitive and objective approach open an avenue for clarifying the developmental course of natural image categorization in the human brain.
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Cites
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A neural marker of perceptual consciousness in infants
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Gilbert, J. A., Blaser, M. J., Caporaso, J. G., Jansson, J. K., Lynch, S. V., & Knight, R. (2018) · Nature Medicine · doi:10.1038/nm.4517 · Cited by 2,609
The Unfolded Protein Response and Cell Fate Control
Hetz, C., & Papa, F. R. (2018) · Molecular Cell · doi:10.1016/j.molcel.2017.06.017 · Cited by 1,544
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Volkow, N. D., & Morales, M. (2015) · Cell · doi:10.1016/j.cell.2015.07.046 · Cited by 1,306
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Metadata
- Authors
- de Heering, A., & Rossion, B.
- Venue
- eLife
- Publisher
- eLife Sciences Publications, Ltd
- Published
- 2015-06-02
- Volume
- 4
- Pages
- e06564-e06564
- ISSN
- 2050-084X (ISSN-L)
- OpenAlex
- W1931428308
- Cited by
- 434
- References
- 6
- FWCI
- 42.41
- Type
- journal article
- Language
- en
- Open access
- gold
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