Center for Brain and Cognition, Universitat Pompeu Fabra, Carrer Ramon Trias Fargas, 25-27, 08005 Barcelona, Spain.
Waisman Center, University of Wisconsin-Madison, 1500 Highland Avenue, Madison, WI 53705, USA.
Trends Cogn Sci. 2018 Jan;22(1):52-63. doi: 10.1016/j.tics.2017.10.003. Epub 2017 Nov 14.
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.
人类和非人类生物都对支持包括交流、视觉处理和序列学习等功能的感官输入中的统计规律敏感。该领域的比较研究面临的问题之一是缺乏一个全面的理论来解释跨不同生态位的统计学习的相关性。在当前的综述中，我们根据所研究的人类和非人类模型的感知和认知机制来解释跨物种的统计学习研究。将统计学习视为动物认知架构的重要组成部分将有助于揭示这种强大学习过程的潜在生态功能。
