Mathematical Analysis of Inverse Problems for Applied Science and Application of Information Theory
| Project/Area Number |
21740072
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
General mathematics (including Probability theory/Statistical mathematics)
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| Research Institution | Kyoto University |
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Principal Investigator |
KUBO Masayoshi 京都大学, 大学院・情報学研究科, 講師 (10273616)
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| Project Period (FY) |
2009 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2012: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2011: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2010: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2009: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | 逆問題 / 情報理論 / 数学解析 / 確率微分方程式 / 推定理論 / Hodgkin-Huxley 方程式 / Fisher情報量 / 数理モデル / Hodgkin-Huxley方程式 / 数値計算 / 確率共鳴 / 非線形システム |
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| Research Abstract |
Inverse problems for stochastic differential equations, especiallyHodgkin-Huxley equations, are examined. We propose a method to estimate properties ofneuronal network activity from intracellular recordings provides estimates of ion channelconductance.
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Report
(5 results)
Research Products
(4 results)
