2009 Fiscal Year Final Research Report
Spatio-temporally coding and integrating different sources of information from the view point of nonlinear systems theory
| Project/Area Number |
17022012
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| Research Category |
Grant-in-Aid for Scientific Research on Priority Areas
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| Allocation Type | Single-year Grants |
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| Review Section |
Biological Sciences
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| Research Institution | The University of Tokyo |
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Principal Investigator |
AIHARA Kazuyuki The University of Tokyo, 生産技術研究所, 教授 (40167218)
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| Co-Investigator(Kenkyū-buntansha) |
SUZUKI Hideyuki 東京大学, 生産技術研究所, 准教授 (60334257)
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| Project Period (FY) |
2005 – 2009
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| Keywords | 数理モデル / 脳・神経 / 数理工学 / 生体情報学 / 神経科学 / 情報統合 |
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| Research Abstract |
This study aimed at understanding information integration within the brain from the viewpoint of nonlinear systems theory by describing its information coding mechanisms and nonlinear dynamics with mathematical models. We showed that integration of visual and auditory information can be explained by Bayesian estimation containing a binary parameter showing whether the two pieces of information came from the same source or not. In addition, we proposed methods for analyzing neural spike train data, and developed a method for inferring directional couplings between two regions/areas in the brain. Further, we pointed out the possibility that instability is effectively used in information processing in the brain.
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