Presentation | 2010-07-27 On prediction accuracy in fMRI multi-voxel pattern analysis Atsushi WADA, Yuichi SAKANO, Hiroshi ANDO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Multi-voxel fMRI analyses are recently-developed techniques that extract information from local activity patterns across voxels to provide sub-voxel sensitivity. However, the nature of the prediction accuracy, a performance measure mainly used in multi-voxel approach to evaluate successful pattern classification, has not yet been clearly understood in relation with fMRI experimental design and preprocessing points of view. In this report, we discuss the effect of preprocessing and pattern classification method on the resulting prediction accuracy. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Multi-voxel pattern analysis / fMRI / prediction accuracy |
Paper # | NC2010-33 |
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Committee | NC |
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Conference Date | 2010/7/20(1days) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | On prediction accuracy in fMRI multi-voxel pattern analysis |
Sub Title (in English) | |
Keyword(1) | Multi-voxel pattern analysis |
Keyword(2) | fMRI |
Keyword(3) | prediction accuracy |
1st Author's Name | Atsushi WADA |
1st Author's Affiliation | Universal Media Research Center, National Institute of Information and Communications Technology(NICT)() |
2nd Author's Name | Yuichi SAKANO |
2nd Author's Affiliation | Universal Media Research Center, National Institute of Information and Communications Technology(NICT) |
3rd Author's Name | Hiroshi ANDO |
3rd Author's Affiliation | Universal Media Research Center, National Institute of Information and Communications Technology(NICT) |
Date | 2010-07-27 |
Paper # | NC2010-33 |
Volume (vol) | vol.110 |
Number (no) | 149 |
Page | pp.pp.- |
#Pages | 3 |
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