Presentation | 2003/3/10 MEG current source estimation and Bayes prior Masa-aki SATO, Taku YOSHIOKA, Shigeki KAJIWARA, Keisuke TOYAMA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We propose a variational Bayes method for estimating current source distribution from observed MEG data. In the method, we introduce a hierarchical prior which assumes that the current sources are localized in the several brain area and the current distribution is continuous. The fMRI data can be also incorporated into the hierarchical prior, so that the reliability of the estimation is increased. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | MEG / Current source estimation / Variational Bayes method / Hierarchical prior / Model posterior probability |
Paper # | NC2002-148 |
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Committee | NC |
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Conference Date | 2003/3/10(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
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) | MEG current source estimation and Bayes prior |
Sub Title (in English) | |
Keyword(1) | MEG |
Keyword(2) | Current source estimation |
Keyword(3) | Variational Bayes method |
Keyword(4) | Hierarchical prior |
Keyword(5) | Model posterior probability |
1st Author's Name | Masa-aki SATO |
1st Author's Affiliation | Human Information Science Labs, ATR International:CREST, Japan Science and Technology Corporation() |
2nd Author's Name | Taku YOSHIOKA |
2nd Author's Affiliation | NAIST:Human Information Science Labs. |
3rd Author's Name | Shigeki KAJIWARA |
3rd Author's Affiliation | Technology Research Lab., Shimadzu C0. |
4th Author's Name | Keisuke TOYAMA |
4th Author's Affiliation | Technology Research Lab., Shimadzu C0. |
Date | 2003/3/10 |
Paper # | NC2002-148 |
Volume (vol) | vol.102 |
Number (no) | 729 |
Page | pp.pp.- |
#Pages | 6 |
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