| Budget Amount *help |
¥120,640,000 (Direct Cost: ¥92,800,000、Indirect Cost: ¥27,840,000)
Fiscal Year 2021: ¥27,040,000 (Direct Cost: ¥20,800,000、Indirect Cost: ¥6,240,000)
Fiscal Year 2020: ¥27,040,000 (Direct Cost: ¥20,800,000、Indirect Cost: ¥6,240,000)
Fiscal Year 2019: ¥27,040,000 (Direct Cost: ¥20,800,000、Indirect Cost: ¥6,240,000)
Fiscal Year 2018: ¥26,000,000 (Direct Cost: ¥20,000,000、Indirect Cost: ¥6,000,000)
Fiscal Year 2017: ¥13,520,000 (Direct Cost: ¥10,400,000、Indirect Cost: ¥3,120,000)
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| Outline of Final Research Achievements |
We developed a brain decoding method based on fMRI activities during human subjects were performing a decision-making task in an uncertain environment, and examined how the meta recognition is involve in the decision-making process (Katayama, et al., 2022). We examined how hierarchical inference and meta recognition crosstalked in a hierarchical decision-making task. Moreover, we elucidated brain information dynamics that parallel processes observation-based information and knowledge-based information when humans were performing a visual discrimination task.
We developed a decoding method to extract dynamically functional circuity from functional imaging data, and applied it to mice and marmosets Ca2+ imaging from their cortices. We completed functional identification of parietal visual association area of one marmoset.
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