Computational understanding of the mechanism of motor ataxia
| Project/Area Number |
23700360
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Bioinformatics/Life informatics
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| Research Institution | NTT Communication Science Laboratories (2013)
Advanced Telecommunications Research Institute International (2011-2012) |
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Principal Investigator |
IZAWA Jun 日本電信電話株式会社ＮＴＴコミュニケーション科学基礎研究所, 人間情報研究部, リサーチスペシャリスト (20582349)
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| Project Period (FY) |
2011 – 2013
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2013: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2012: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2011: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
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| Keywords | 運動学習 / 運動制御 / 小脳 / 発達障害 / 計算理論 / 内部モデル / 運動のばらつき / 自閉症 / 脳疾患 |
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| Research Abstract |
The aim of this research is to understand the computational mechanism of how the damage of the brain generates motor deficits using the recently established computational framework of motor learning which is based on stochastic optimization theory. We proposed a motor adaptation system as a combination of optimal state estimator and optimal control mechanism and discussed a consistency between the propose model and previously discussed behavioral data. To confirm this idea, a new paradigm of a behavioral experiment was developed. We confirmed that the representation of internal model in the brain is not deterministic rather than stochastic. Then, the learning experiment with the cerebellar ataxia showed that updating sensory estimation was impaired whereas updating motor commands were preserved. This suggests that the cerebellum is responsible for forward model.
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Report
(4 results)
Research Products
(25 results)
