statistical modeling of neural activities by infinite dimensional information geometry
| Project/Area Number |
24700301
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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 | Kwansei Gakuin University (2015)
Tohoku University (2012-2014) |
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Principal Investigator |
Miura Keiji 関西学院大学, 理工学部, 准教授 (60520096)
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| Project Period (FY) |
2012-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2015: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2014: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2012: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | information geometry / computational topology / nonstationarity / noise correlations / Information Geometry / Applied Topology / 情報幾何学 / セミパラメトリック推定 / ノイズ相関 / 時系列解析 / 時系列 / 神経科学 / 応用数学 / 情報生命 |
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| Outline of Final Research Achievements |
Dynamical brain activities, under changing environments and animals' states, often show nonstationarity. In this study, we derived statistical estimators for time-independent statistical parameters such as correlations, which are orthogonal to the time-dependent baselines, whatever the function form of the baseline drift is.
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Report
(5 results)
Research Products
(41 results)
