Statistical learning in a serial reaction time task: Access to separable statistical cues by individual learners
Statistical learning in a serial reaction time task: Access to separable statistical cues by individual learners
复制标题
DOI：
10.1037//0096-3445.130.4.658
复制
发表时间：
2001-12-01
影响因子：
4.1
通讯作者：
Aslin, RN
中科院分区：
文献类型：
--
作者：
Hunt, RH;Aslin, RN
研究了成人学习者在包含确定性和概率性信息的连续反应时任务中利用联合概率和条件概率的能力。学习者使用嵌入在连续输入流中的统计信息，通过同时利用2个或更多个基础统计数据的可预测性差异来提高某些转换的性能。个别学习者的分析表明，虽然大多数收购的基本统计结构veridically，其他人使用的替代策略，部分预测的序列。研究结果表明，学习者拥有一个强大的学习设备，非常适合利用相对可预测性的多个来源的统计信息在同一时间。这项工作扩展了以前的研究统计学习，以及人工语法学习和内隐序列学习的研究。
The ability of adult learners to exploit the joint and conditional probabilities in a serial reaction time task containing both deterministic and probabilistic information was investigated. Leamers used the statistical information embedded in a continuous input stream to improve their performance for certain transitions by simultaneously exploiting differences in the predictability of 2 or more underlying statistics. Analysis of individual learners revealed that although most acquired the underlying statistical structure veridically, others used an alternate strategy that was partially predictive of the sequences. The findings show that learners possess a robust learning device well suited to exploiting the relative predictability of more than I source of statistical information at the same time. This work expands on previous studies of statistical learning, as well as studies of artificial grammar learning and implicit sequence learning.