Presentation 2004/5/21
An imaging study on human action selection for hierarchical rules
Hidefumi FUNAKOSHI, Wako YOSHIDA, Shin ISHII,
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Abstract(in English) In order to adapt to a dynamic environment, appropriate behavioral switching is necessary. In most real world problems, there are numerous possible actions, and it is too hard to select an optimal one by evaluating all of them. Even in such a situation, humans are able to select an action efficiently by seeking only over a subspace of the whole action space. In this study, we design a Multi Feature Sorting Task in which the behavioral rules have a hierarchical structure, and conduct an fMRI experiment using the task. This task consists of two kinds of rule switches; one is a higher order switch to search for a rule across different subspaces, and the other is a lower order switch to change a rule within the same subspace. The results in our imaging study show that left inferior frontal gyrus is related to the higher order switch, and right fronto-polar and right dorsolateral prefrontal cortex are significantly activated with the lower order one. We also suggest a functional model of prefrontal cortex which realizes the hierarchical rule switching mechanism.
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Keyword(in English) meta-rule / action selection / rule switch / fMRI / prefrontal cortex
Paper # NC2004-9
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Conference Information
Committee NC
Conference Date 2004/5/21(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) An imaging study on human action selection for hierarchical rules
Sub Title (in English)
Keyword(1) meta-rule
Keyword(2) action selection
Keyword(3) rule switch
Keyword(4) fMRI
Keyword(5) prefrontal cortex
1st Author's Name Hidefumi FUNAKOSHI
1st Author's Affiliation Nara Institute of Science and Technology()
2nd Author's Name Wako YOSHIDA
2nd Author's Affiliation Nara Institute of Science and Technology
3rd Author's Name Shin ISHII
3rd Author's Affiliation Nara Institute of Science and Technology
Date 2004/5/21
Paper # NC2004-9
Volume (vol) vol.104
Number (no) 99
Page pp.pp.-
#Pages 6
Date of Issue