Institutional Repository of Key Laboratory of Mental Health, CAS
Learning predictive statistics from temporal sequences: Dynamics and strategies | |
Wang, Rui1,2; Shen, Yuan3,4; Tino, Peter4; Welchman, Andrew E.2; Kourtzi, Zoe2 | |
心理所单位排序 | 1 |
摘要 | Human behavior is guided by our expectations about the future. Often, we make predictions by monitoring how event sequences unfold, even though such sequences may appear incomprehensible. Event structures in the natural environment typically vary in complexity, from simple repetition to complex probabilistic combinations. How do we learn these structures? Here we investigate the dynamics of structure learning by tracking human responses to temporal sequences that change in structure unbeknownst to the participants. Participants were asked to predict the upcoming item following a probabilistic sequence of symbols. Using a Markov process, we created a family of sequences, from simple frequency statistics (e.g., some symbols are more probable than others) to context-based statistics (e.g., symbol probability is contingent on preceding symbols). We demonstrate the dynamics with which individuals adapt to changes in the environment's statistics-that is, they extract the behaviorally relevant structures to make predictions about upcoming events. Further, we show that this structure learning relates to individual decision strategy; faster learning of complex structures relates to selection of the most probable outcome in a given context (maximizing) rather than matching of the exact sequence statistics. Our findings provide evidence for alternate routes to learning of behaviorally relevant statistics that facilitate our ability to predict future events in variable environments. |
关键词 | learning behavior vision |
2017-10-01 | |
语种 | 英语 |
DOI | 10.1167/17.12.1 |
发表期刊 | JOURNAL OF VISION |
ISSN | 1534-7362 |
卷号 | 17期号:12页码:1-16 |
期刊论文类型 | Article |
收录类别 | SCI ; SSCI |
WOS关键词 | 8-MONTH-OLD INFANTS ; VISUAL-ATTENTION ; TIME ; PROBABILITIES ; PERFORMANCE ; LANGUAGE ; MEMORY ; MODEL ; TASK |
WOS标题词 | Science & Technology ; Life Sciences & Biomedicine |
WOS研究方向 | Ophthalmology |
WOS类目 | Ophthalmology |
WOS记录号 | WOS:000417128900001 |
资助机构 | Engineering and Physical Sciences Research Council(EP/L000296/1) ; Biotechnology and Biological Sciences Research Council(H012508) ; Leverhulme Trust(RF-2011-378) ; European Community's Seventh Framework Programme (FP7)(PITN-GA-2011-290011) ; Wellcome Trust(095183/Z/10/Z) |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.psych.ac.cn/handle/311026/26010 |
专题 | 中国科学院心理健康重点实验室 |
作者单位 | 1.Chinese Acad Sci, Key Lab Mental Hlth, Inst Psychol, Beijing, Peoples R China 2.Univ Cambridge, Dept Psychol, Cambridge, England 3.Xian Jiaotong Liverpool Univ, Dept Math Sci, Suzhou, Peoples R China 4.Univ Birmingham, Sch Comp Sci, Birmingham, W Midlands, England |
第一作者单位 | 中国科学院心理健康重点实验室 |
推荐引用方式 GB/T 7714 | Wang, Rui,Shen, Yuan,Tino, Peter,et al. Learning predictive statistics from temporal sequences: Dynamics and strategies[J]. JOURNAL OF VISION,2017,17(12):1-16. |
APA | Wang, Rui,Shen, Yuan,Tino, Peter,Welchman, Andrew E.,&Kourtzi, Zoe.(2017).Learning predictive statistics from temporal sequences: Dynamics and strategies.JOURNAL OF VISION,17(12),1-16. |
MLA | Wang, Rui,et al."Learning predictive statistics from temporal sequences: Dynamics and strategies".JOURNAL OF VISION 17.12(2017):1-16. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Learning predictive (667KB) | 期刊论文 | 作者接受稿 | 限制开放 | CC BY-NC-SA | 请求全文 |
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