Research attempt of computational graph-based neurolinguistics integrating brain fMRI, machine learning and complex networks
| Project/Area Number |
23500171
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | Tokyo Institute of Technology |
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Principal Investigator |
AKAMA Hiroyuki 東京工業大学, 社会理工学研究科, 准教授 (60242301)
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| Co-Investigator(Kenkyū-buntansha) |
TOKOSUMI Akifumi 東京工業大学, 大学院社会理工学研究科, 教授 (50125332)
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| Project Period (FY) |
2011-04-28 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2013: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2012: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2011: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | 脳科学 / fMRI / 機械学習 / 複雑ネットワーク / 自然言語処理 / 脳画像解析 / 意味処理 / 国際情報交換(アメリカ、イタリア) / 脳 / ｆMRI / マルチリンガル |
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| Outline of Final Research Achievements |
We carried out an brain informatics study by performing fMRI experiments, conducting a statistical analysis of the datasets gathered during a covert word property generation task, especially using our original machine learning to classify and predict various cognitive states. Addressing the problem of vulnerability in Multi-Voxel Pattern Analysis (MVPA) eliciting a considerable performance penalty (decrease in accuracy) when executed across sessions or participants, we executed a depthful fitting analysis focusing on cross-modal and individual variation that most previous research has not involved so far. As a result, a key to success in cross-learning on semantic cognition was revealed by underscoring the significance of feature selection strategy founded upon integrated spatio-temporal patterns of neural activity. Furthermore, we conducted experiments involving language switching, with early bilingual speakers and extracted some informative regions using both GLM methods and MVPA.
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Report
(5 results)
Research Products
(9 results)
