Sherman Brynn E, Graves Kathryn N, Turk-Browne Nicholas B
Department of Psychology, Yale University, 2 Hillhouse Avenue, New Haven, CT 06520, USA.
Curr Opin Behav Sci. 2020 Apr;32:15-20. doi: 10.1016/j.cobeha.2020.01.015. Epub 2020 Feb 29.
Statistical learning, the ability to extract regularities from the environment over time, has become a topic of burgeoning interest. Its influence on behavior, spanning infancy to adulthood, has been demonstrated across a range of tasks, both those labeled as tests of statistical learning and those from other learning domains that predated statistical learning research or that are not typically considered in the context of that literature. Given this pervasive role in human cognition, statistical learning has the potential to reconcile seemingly distinct learning phenomena and may be an under-appreciated but important contributor to a wide range of human behaviors that are studied as unrelated processes, such as episodic memory and spatial navigation.
统计学习，即随着时间推移从环境中提取规律的能力，已成为一个迅速兴起的研究热点。它对行为的影响贯穿从婴儿期到成年期，已在一系列任务中得到证实，这些任务既包括被标记为统计学习测试的任务，也包括来自统计学习研究之前的其他学习领域的任务，或者那些在该文献背景下通常不被考虑的任务。鉴于其在人类认知中的这种普遍作用，统计学习有可能调和看似不同的学习现象，并且可能是众多被作为不相关过程进行研究的人类行为（如情景记忆和空间导航）中一个未得到充分重视但却很重要的因素。
