The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
From faces to hands: Changing visual input in the first two years
Open accessAbstract
Human development takes place in a social context. Two pervasive sources of social information are faces and hands. Here, we provide the first report of the visual frequency of faces and hands in the everyday scenes available to infants. These scenes were collected by having infants wear head cameras during unconstrained everyday activities. Our corpus of 143 hours of infant-perspective scenes, collected from 34 infants aged 1 month to 2 years, was sampled for analysis at 1/5 Hz. The major finding from this corpus is that the faces and hands of social partners are not equally available throughout the first two years of life. Instead, there is an earlier period of dense face input and a later period of dense hand input. At all ages, hands in these scenes were primarily in contact with objects and the spatio-temporal co-occurrence of hands and faces was greater than expected by chance. The orderliness of the shift from faces to hands suggests a principled transition in the contents of visual experiences and is discussed in terms of the role of developmental gates on the timing and statistics of visual experiences.
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How to grow a mind: Statistics, structure, and abstraction
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Goren, C. C., Sarty, M., & Wu, P. Y. K. (1975) · Pediatrics · doi:10.1542/peds.56.4.544 · Cited by 1,158
Topics in semantic representation
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Learning to recognize objects in egocentric activities
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Hands up: Attentional prioritization of space near the hand.
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Anticipatory Adjustments to Being Picked Up in Infancy
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Cited by
The development of motor behavior
Adolph, K. E., & Franchak, J. M. (2017) · WIREs Cognitive Science · doi:10.1002/wcs.1430 · Cited by 371
Speaker Gaze Increases Information Coupling between Infant and Adult Brains
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The Developing Infant Creates a Curriculum for Statistical Learning
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Self-citationBrain-like functional specialization emerges spontaneously in deep neural networks
Dobs, K., Martinez, J., Kell, A. J. E., & Kanwisher, N. (2022) · Science Advances · doi:10.1126/sciadv.abl8913 · Cited by 129
Toward an integration of deep learning and neuroscience
Marblestone, A. H., Wayne, G., & Kording, K. P. (2016) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2016.00094 · Cited by 119
Metadata
- Authors
- Fausey, C. M., Jayaraman, S., & Smith, L. B.
- Venue
- Cognition
- Publisher
- Elsevier BV
- Published
- 2016-07
- Volume
- 152
- Pages
- 101-107
- ISSN
- 0010-0277 (ISSN-L)
- OpenAlex
- W2320331759
- Cited by
- 280
- References
- 12
- FWCI
- 15.67
- Type
- journal article
- Language
- en
- Open access
- bronze
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