AI Article Synopsis
- Both humans and nonhuman organisms can detect statistical patterns in sensory information, which aids functions like communication and learning.
- A challenge in research is the absence of a unifying theory that connects statistical learning across different species and environments.
- The review suggests viewing statistical learning as a key cognitive aspect in both humans and animals, which could reveal its ecological significance.
Article Abstract
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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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5777226 | PMC |
| http://dx.doi.org/10.1016/j.tics.2017.10.003 | DOI Listing |
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