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Paired-Associate and Feedback-Based Weather Prediction Tasks Support Multiple Category Learning Systems
Li,Kaiyun1,2; Fu,Qiufang1; Sun,Xunwei1,2; Zhou,Xiaoyan1,2; Fu,Xiaolan1
第一作者Li, Kaiyun
通讯作者邮箱fuqf@psych.ac.cn
心理所单位排序1
摘要It remains unclear whether probabilistic category learning in the feedback-based weather prediction task (FB-WPT) can be mediated by a non-declarative or procedural learning system. To address this issue, we compared the effects of training time and verbal working memory, which influence the declarative learning system but not the non declarative learning system, in the FB and paired associate (PA) WPTs, as the PA task recruits a declarative learning system. The results of Experiment 1 showed that the optimal accuracy in the PA condition was significantly decreased when the training time was reduced from 7 to 3 s, but this did not occur in the FB condition, although shortened training time impaired the acquisition of explicit knowledge in both conditions. The results of Experiment 2 showed that the concurrent working memory task impaired the optimal accuracy and the acquisition of explicit knowledge in the PA condition but did not influence the optimal accuracy or the acquisition of self-insight knowledge in the FB condition. The apparent dissociation results between the FB and PA conditions suggested that a non-declarative or procedural learning system is involved in the FB-WPT and provided new evidence for the multiple-systems theory of human category learning.
关键词Weather Prediction Task Feedback-based Paired-associate Non-declarative System Declarative System Task Structure Knowledge Self-insight Knowledge
2016-06-30
语种英语
DOI10.3389/fpsyg.2016.0107
发表期刊FRONTIERS IN PSYCHOLOGY
ISSN1664-1078
卷号7页码:1017
期刊论文类型Article
URL查看原文
收录类别SSCI
WOS关键词HUNTINGTONS-DISEASE ; IMPLICIT PROCESSES ; MEMORY-SYSTEMS ; BASAL GANGLIA ; DOPAMINE ; EXPLICIT ; INSIGHT ; WORKING
WOS标题词Social Sciences
WOS研究方向Psychology
WOS类目Psychology, Multidisciplinary
WOS记录号WOS:000378787800001
WOS分区Q2
Q分类Q2
取样对象人类
性别男 ; 女
年龄组青年(18岁-29岁)
被试数量Experiment1:104, Experiment2:52
测试或任务probabilistic category-learning task
因变量指标the optimal accuracy; mean difference scores
统计方法One-way simple t-tests; repeated ANOVA
资助机构National Natural Science Foundation of China(31270024 ; 61375009)
引用统计
被引频次:3[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/20030
专题脑与认知科学国家重点实验室
作者单位1.Chinese Acad Sci, Inst Psychol, State Key Lab Brain & Cognit Sci, Beijing 100101, Peoples R China;
2.Univ Chinese Acad Sci, Beijing, Peoples R China
第一作者单位脑与认知科学国家重点实验室
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GB/T 7714
Li,Kaiyun,Fu,Qiufang,Sun,Xunwei,et al. Paired-Associate and Feedback-Based Weather Prediction Tasks Support Multiple Category Learning Systems[J]. FRONTIERS IN PSYCHOLOGY,2016,7:1017.
APA Li,Kaiyun,Fu,Qiufang,Sun,Xunwei,Zhou,Xiaoyan,&Fu,Xiaolan.(2016).Paired-Associate and Feedback-Based Weather Prediction Tasks Support Multiple Category Learning Systems.FRONTIERS IN PSYCHOLOGY,7,1017.
MLA Li,Kaiyun,et al."Paired-Associate and Feedback-Based Weather Prediction Tasks Support Multiple Category Learning Systems".FRONTIERS IN PSYCHOLOGY 7(2016):1017.
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