2012 Fiscal Year Final Research Report
Estimation of functional connectivity of neuronal network from spike data
| Project/Area Number |
22700321
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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 | The Institute of Physical and Chemical Research (2011-2012)
Kyoto University (2010) |
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Principal Investigator |
NOMURA Masaki 独立行政法人理化学研究所, 細胞システムモデル化研究チーム, 研究員 (90552688)
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| Research Collaborator |
SAKURAI Yoshio 京都大学, 大学院・文学研究科, 教授 (60153962)
GOHARA Kazutoshi 北海道大学, 大学院・工学研究科, 教授 (40153746)
KUBOTA Yoshiyuki 生理学研究所, 大脳皮質機能研究系, 准教授 (90192567)
KIMURA Shuhei 鳥取大学, 大学院・工学研究科, 准教授
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| Project Period (FY) |
2010 – 2012
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| Keywords | 神経回路モデル / ベイズ推定 / 神経細胞モデル / ロルの法則 |
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| Research Abstract |
I estimated a functional connectivity of neuronal network from burst like neuronal spike data recorded from cultured neurons. With using a dynamic Bayesian estimation algorithm, I obtained a network model the distribution of synaptic weights of which has a long tail. The obtained model could reproduce the burst like neuronal activities, which disappeared when the synaptic weights were shuffled. These results suggest that both the weight distribution and the network structure are important to induce the burst like neuronal activities.
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