| Budget Amount *help |
¥110,110,000 (Direct Cost: ¥84,700,000、Indirect Cost: ¥25,410,000)
Fiscal Year 2021: ¥17,160,000 (Direct Cost: ¥13,200,000、Indirect Cost: ¥3,960,000)
Fiscal Year 2020: ¥17,160,000 (Direct Cost: ¥13,200,000、Indirect Cost: ¥3,960,000)
Fiscal Year 2019: ¥17,160,000 (Direct Cost: ¥13,200,000、Indirect Cost: ¥3,960,000)
Fiscal Year 2018: ¥17,160,000 (Direct Cost: ¥13,200,000、Indirect Cost: ¥3,960,000)
Fiscal Year 2017: ¥41,470,000 (Direct Cost: ¥31,900,000、Indirect Cost: ¥9,570,000)
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| Outline of Final Research Achievements |
Focusing on the interdomain coupling patterns of the brain, our research aimed to propose, implement, and demonstrate an asynchronous parallel information processing architecture inspired by the spatiotemporal hierarchical information dynamics of the brain. Regarding the brain-type reference architecture, we attempted to define (1) a neocortical master algorithm framework (MAF) for the neocortex. We also developed (2) a methodology for developing brain-type AI and a brain-type reference architecture for developing brain-type AI with reference to the coupled architecture among brain regions. In addition, to develop an execution infrastructure for brain-based asynchronous parallel computation, we developed (3) brain-based computation infrastructure software, BriCA, and examined (4) brain-based asynchronous parallel computation models for this demonstration.
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