Cognitive control in majority search: a computational modeling approach

	Cognitive control in majority search: a computational modeling approach
	Wang, Hongbin 1,2; Liu, Xun3,4 ; Fan, Jin 4,5; Wang, HB (reprint author), Univ Texas Hlth Sci Ctr Houston, Sch Biomed Informat, 7000 Fannin Suite 600, Houston, TX 77030 USA.
心理所单位排序	3
摘要	Despite the importance of cognitive control in many cognitive tasks involving uncertainty, the computational mechanisms of cognitive control in response to uncertainty remain unclear. In this study, we develop biologically realistic neural network models to investigate the instantiation of cognitive control in a majority function task, where one determines the category to which the majority of items in a group belong. Two models are constructed, both of which include the same set of modules representing task-relevant brain functions and share the same model structure. However, with a critical change of a model parameter setting, the two models implement two different underlying algorithms: one for grouping search (where a subgroup of items are sampled and re-sampled until a congruent sample is found) and the other for self-terminating search (where the items are scanned and counted one-by-one until the majority is decided). The two algorithms hold distinct implications for the involvement of cognitive control. The modeling results show that while both models are able to perform the task, the grouping search model fit the human data better than the self-terminating search model. An examination of the dynamics underlying model performance reveals how cognitive control might be instantiated in the brain for computing the majority function.
关键词	cognitive control uncertainty majority function algorithms computational modeling neural networks
学科领域	Cognitive Psychology
	2011-02-09
语种	英语
发表期刊	FRONTIERS IN HUMAN NEUROSCIENCE
ISSN	1662-5161
卷号	5
期刊论文类型	Article
URL	查看原文
收录类别	SCI ; SSCI
项目简介	This work was supported by an ONR cognitive science program grant (N00014-08-1-0042) and a Vivian Smith Foundation grant to Hongbin Wang, and a Young Investigator Award from the NARSAD and a NIH grant 1R21MH083164-01 to Jin Fan. We thank Kevin G. Guise and Frank Tamborello for assistance in various stages of the study.
WOS记录号	WOS:000289421500001
资助机构	ONR [N00014-08-1-0042] ; Vivian Smith Foundation ; NARSAD ; NIH [1R21MH083164-01]
引用统计	被引频次：14[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/311026/11442
专题	中国科学院行为科学重点实验室
通讯作者	Wang, HB (reprint author), Univ Texas Hlth Sci Ctr Houston, Sch Biomed Informat, 7000 Fannin Suite 600, Houston, TX 77030 USA.
作者单位	1.Univ Texas Hlth Sci Ctr Houston, Sch Biomed Informat, Houston, TX 77030 USA 2.Tsinghua Univ, Dept Psychol, Beijing 100084, Peoples R China 3.Chinese Acad Sci, Inst Psychol, Beijing 100101, Peoples R China 4.Mt Sinai Sch Med, Dept Psychiat, New York, NY USA 5.CUNY, Dept Psychol, Queens Coll, Flushing, NY 11367 USA
推荐引用方式 GB/T 7714	Wang, Hongbin,Liu, Xun,Fan, Jin,et al. Cognitive control in majority search: a computational modeling approach[J]. FRONTIERS IN HUMAN NEUROSCIENCE,2011,5.
APA	Wang, Hongbin,Liu, Xun,Fan, Jin,&Wang, HB .(2011).Cognitive control in majority search: a computational modeling approach.FRONTIERS IN HUMAN NEUROSCIENCE,5.
MLA	Wang, Hongbin,et al."Cognitive control in majority search: a computational modeling approach".FRONTIERS IN HUMAN NEUROSCIENCE 5(2011).

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