| Budget Amount *help |
¥17,940,000 (Direct Cost: ¥13,800,000、Indirect Cost: ¥4,140,000)
Fiscal Year 2014: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2013: ¥10,400,000 (Direct Cost: ¥8,000,000、Indirect Cost: ¥2,400,000)
Fiscal Year 2012: ¥6,370,000 (Direct Cost: ¥4,900,000、Indirect Cost: ¥1,470,000)
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| Outline of Final Research Achievements |
We performed a decoding study of next scenes to be predicted by human subjects from their frontal-parietal fMRI activities when the subjects were performing a navigation task in partially observable maze environments. We performed a decoding study of various kinds of cognitive tasks by a deep neural network trained by large-scale fMRI data, and visualized high-dimensional features embedded in the trained deep network. Moreover, we constructed an online decoding system of spatial attention based on EEG (electroencephalography), which is applicable to real-world navigation. Using resting-state activities, we could calibrate the difference in neural correlates between human subjects.
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