Neural network and cognitive mechanism of creative interpretations in metaphor comprehension
Project/Area Number |
26330245
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Intelligent informatics
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Research Institution | Future University-Hakodate (2016-2017) Tokyo Institute of Technology (2014-2015) |
Principal Investigator |
Terai Asuka 公立はこだて未来大学, システム情報科学部, 准教授 (70422540)
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Co-Investigator(Kenkyū-buntansha) |
楠見 孝 京都大学, 教育学研究科, 教授 (70195444)
地村 弘二 慶應義塾大学, 理工学部(矢上), 准教授 (80431766)
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Project Period (FY) |
2014-04-01 – 2018-03-31
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Project Status |
Completed (Fiscal Year 2017)
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Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2017: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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Keywords | 創造的思考 / 比喩理解 / 眼球運動測定 / fMRI / 比喩 / 概念融合 / 比喩解釈 / 眼球運動 |
Outline of Final Research Achievements |
In combining two concepts as conceptual blending, novel features, which are atypical characteristic of the original concepts, emerge as creative features. Similarly, interpretations of metaphor “topic (A) is vehicle (B)” involve creative features that are not typical characteristics of the words (A and B). In this research, psychological experiments with eye-tracking and a fMRI experiment were conducted to make clear a cognitive mechanism and neural network of the creative interpretations. As a results, it was suggested that the mechanism consists of semantic searching and evaluation for features.
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Report
(5 results)
Research Products
(9 results)
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[Presentation] suka Terai, Masanori Nakagawa, Takashi Kusumi, Yasuharu Koike, Koji Jimura2014
Author(s)
Asuka Terai, Masanori Nakagawa, Takashi Kusumi, Yasuharu Koike, Koji Jimura
Organizer
Vision, Memory, Thought: how cognition emerges from neural network (VMT2014)
Place of Presentation
東京大学
Year and Date
2014-12-06 – 2014-12-07
Related Report
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