期刊
TRENDS IN COGNITIVE SCIENCES
卷 22, 期 1, 页码 52-63出版社
ELSEVIER SCIENCE LONDON
DOI: 10.1016/j.tics.2017.10.003
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资金
- Foundation Marica De Vincenzi ONLUS
- National Institutes of Health [R37HD037466]
- EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT [R37HD037466] Funding Source: NIH RePORTER
Both human and nonhuman organisms are sensitive to statistical regularities in sensory inputs that support functions including communication, visual processing, and sequence learning. One of the issues faced by comparative research in this field is the lack of a comprehensive theory to explain the relevance of statistical learning across distinct ecological niches. In the current review we interpret cross-species research on statistical learning based on the perceptual and cognitive mechanisms that characterize the human and nonhuman models under investigation. Considering statistical learning as an essential part of the cognitive architecture of an animal will help to uncover the potential ecological functions of this powerful learning process.
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