Multi-Objective Optimal Experimental Designs for ER-fMRI Using MATLAB
Designs for event-related functional magnetic resonance imaging (ER-fMRI) that helpto eciently achieve the statistical goals while taking into account the psychological con-straints and customized requirements are in great demand. This is not only because ofthe popularity of ER-fMRI but also because...
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Format: | Article |
Language: | English |
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Foundation for Open Access Statistics
2009-06-01
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Series: | Journal of Statistical Software |
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Online Access: | http://www.jstatsoft.org/v30/i11/paper |
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author | Ming-Hung Kao |
author_facet | Ming-Hung Kao |
author_sort | Ming-Hung Kao |
collection | DOAJ |
description | Designs for event-related functional magnetic resonance imaging (ER-fMRI) that helpto eciently achieve the statistical goals while taking into account the psychological con-straints and customized requirements are in great demand. This is not only because ofthe popularity of ER-fMRI but also because of the high cost of ER-fMRI experiments;being able to collect highly informative data is crucial. In this paper, we develop a MAT-LAB program which can accommodate many user-specied experimental conditions toeciently nd ER-fMRI optimal designs. |
first_indexed | 2024-04-13T17:16:45Z |
format | Article |
id | doaj.art-a4e216c45b3e4bcc96d7132e8d0f66f5 |
institution | Directory Open Access Journal |
issn | 1548-7660 |
language | English |
last_indexed | 2024-04-13T17:16:45Z |
publishDate | 2009-06-01 |
publisher | Foundation for Open Access Statistics |
record_format | Article |
series | Journal of Statistical Software |
spelling | doaj.art-a4e216c45b3e4bcc96d7132e8d0f66f52022-12-22T02:38:06ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602009-06-013011Multi-Objective Optimal Experimental Designs for ER-fMRI Using MATLABMing-Hung KaoDesigns for event-related functional magnetic resonance imaging (ER-fMRI) that helpto eciently achieve the statistical goals while taking into account the psychological con-straints and customized requirements are in great demand. This is not only because ofthe popularity of ER-fMRI but also because of the high cost of ER-fMRI experiments;being able to collect highly informative data is crucial. In this paper, we develop a MAT-LAB program which can accommodate many user-specied experimental conditions toeciently nd ER-fMRI optimal designs.http://www.jstatsoft.org/v30/i11/paperdesign efficiencygenetic algorithmsMATLAB |
spellingShingle | Ming-Hung Kao Multi-Objective Optimal Experimental Designs for ER-fMRI Using MATLAB Journal of Statistical Software design efficiency genetic algorithms MATLAB |
title | Multi-Objective Optimal Experimental Designs for ER-fMRI Using MATLAB |
title_full | Multi-Objective Optimal Experimental Designs for ER-fMRI Using MATLAB |
title_fullStr | Multi-Objective Optimal Experimental Designs for ER-fMRI Using MATLAB |
title_full_unstemmed | Multi-Objective Optimal Experimental Designs for ER-fMRI Using MATLAB |
title_short | Multi-Objective Optimal Experimental Designs for ER-fMRI Using MATLAB |
title_sort | multi objective optimal experimental designs for er fmri using matlab |
topic | design efficiency genetic algorithms MATLAB |
url | http://www.jstatsoft.org/v30/i11/paper |
work_keys_str_mv | AT minghungkao multiobjectiveoptimalexperimentaldesignsforerfmriusingmatlab |