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.

中文翻译：

---

跨物种统计学习的限制

人类和非人类有机体都对支持通信、视觉处理和序列学习等功能的感官输入的统计规律很敏感。该领域比较研究面临的问题之一是缺乏综合理论来解释不同生态位之间统计学习的相关性。在当前的评论中，我们基于表征正在研究的人类和非人类模型的感知和认知机制来解释统计学习的跨物种研究。将统计学习视为动物认知结构的重要组成部分，将有助于揭示这一强大学习过程的潜在生态功能。