幼儿统计学习的机制

Scott P. Johnson
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引用次数: 1

摘要

统计学习是识别刺激特征之间概率共现模式的过程,这对我们将世界视为可预测和稳定的能力至关重要。对听觉统计学习的研究表明,婴儿使用语言输入的统计特性来发现可能有助于语言习得的结构。更广泛地说,统计学习是跨感官模式和跨物种运作的。对婴儿视觉统计学习的研究表明,统计学习是随着时间的推移而发展的,但婴儿表现的机制(包括发育机制)尚不清楚。本章考察了统计学习的竞争模型,以及学习如何受到婴儿注意力、感知和记忆的限制。
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Mechanisms of Statistical Learning in Infancy
Statistical learning is the process of identifying patterns of probabilistic co-occurrence among stimulus features, essential to our ability to perceive the world as predictable and stable. Research on auditory statistical learning has revealed that infants use statistical properties of linguistic input to discover structure that may facilitate language acquisition. More broadly, statistical learning operates across sensory modalities and across species. Research on infants’ visual statistical learning has revealed that statistical learning develops over time, yet the mechanisms (including developmental mechanisms) underlying infant performance remain unclear. This chapter examines competing models of statistical learning and how learning might be constrained by limits in infants’ attention, perception, and memory.
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Mechanisms of Statistical Learning in Infancy The Search for Invariance: Repeated Positive Testing Serves the Goals of Causal Learning
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