The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index.
The Developing Infant Creates a Curriculum for Statistical Learning
Open accessAbstract
New efforts are using head-cameras and eye-trackers worn by infants to capture everyday visual environments from the infant learner’s point of view. From this vantage point, the training sets for statistical learning develop as the infant’s sensory-motor abilities develop, yielding a series of ordered data sets for visual learning that differ in content and structure between time points but are highly selective at each time point. These changing environments may constitute a developmentally ordered curriculum that optimizes learning across many domains. Future advances in computational models are needed to connect the developmentally changing content and statistics of infant experience to the internal machinery that does the learning.
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Cites
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Self-citationThe Psychology and Neuroscience of Curiosity
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Cited by
Emotional expressions reconsidered: Challenges to inferring emotion from human facial movements
Barrett, L. F., Adolphs, R., Marsella, S., Martinez, A. M., & Pollak, S. D. (2019) · Psychological Science in the Public Interest · doi:10.1177/1529100619832930 · Cited by 1,748
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Lessons from infant learning for unsupervised machine learning
Zaadnoordijk, L., Besold, T. R., & Cusack, R. (2022) · Nature Machine Intelligence · doi:10.1038/s42256-022-00488-2 · Cited by 65
Curiosity: primate neural circuits for novelty and information seeking
Monosov, I. E. (2024) · Nature Reviews Neuroscience · doi:10.1038/s41583-023-00784-9 · Cited by 44
Huber, L. S., Geirhos, R., & Wichmann, F. A. (2023) · Journal of Vision · doi:10.1167/jov.23.7.4 · Cited by 42
Metadata
- Authors
- Smith, L. B., Jayaraman, S., Clerkin, E., & Yu, C.
- Venue
- Trends in Cognitive Sciences
- Publisher
- Elsevier BV
- Published
- 2018-04
- Volume
- 22
- Issue
- 4
- Pages
- 325-336
- ISSN
- 1364-6613 (ISSN-L)
- OpenAlex
- W2790065565
- Cited by
- 299
- References
- 78
- FWCI
- 5.64
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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