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Cognitive control in majority search: a computational modeling approach
Wang, Hongbin1,2; Liu, Xun3,4; Fan, Jin4,5; Wang, HB (reprint author), Univ Texas Hlth Sci Ctr Houston, Sch Biomed Informat, 7000 Fannin Suite 600, Houston, TX 77030 USA.
2011-02-09
Source PublicationFRONTIERS IN HUMAN NEUROSCIENCE
ISSN1662-5161
SubtypeArticle
Volume5
Contribution Rank3
AbstractDespite 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.
Keywordcognitive control uncertainty majority function algorithms computational modeling neural networks
Subject AreaCognitive Psychology
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Indexed BySCI ; SSCI
Language英语
Funding OrganizationONR [N00014-08-1-0042] ; Vivian Smith Foundation ; NARSAD ; NIH [1R21MH083164-01]
Project Intro.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 IDWOS:000289421500001
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Cited Times:8[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/11442
Collection中国科学院行为科学重点实验室
Corresponding AuthorWang, HB (reprint author), Univ Texas Hlth Sci Ctr Houston, Sch Biomed Informat, 7000 Fannin Suite 600, Houston, TX 77030 USA.
Affiliation1.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
Recommended Citation
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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