Estimation of structural characteristics of synaptic networks based on the functional networks derived from neural activity
| Project/Area Number |
21700334
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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 |
Bioinformatics/Life informatics
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| Research Institution | Ritsumeikan University |
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Principal Investigator |
KITANO Katsunori Ritsumeikan University, 情報理工学部, 准教授 (90368001)
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| Project Period (FY) |
2009 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2010: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2009: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
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| Keywords | 神経回路 / 数理モデル / シミュレーション / 同期 |
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| Research Abstract |
We explored the possibility to extract structural characteristics of a synaptic network from neuronal spiking activity analyzing similarity between the synaptic network and the functional network generated by pairwise spike correlation. We developed the method to construct a functional network based on pairwise spike correlation and a condition about the number of functional connections per a neuron. Our result indicated that the proposed method could yield the functional networks that showed similar structural characteristics to synaptic networks with respect to statistics characterizing network structure such as clustering coefficients and average shortest path length.
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Report
(3 results)
Research Products
(4 results)
