2015 Fiscal Year Final Research Report
Mathematical modeling for functional differentiation of neural networks
| Project/Area Number |
26540123
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Soft computing
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| Research Institution | Fukuoka Institute of Technology (2015)
Hokkaido University (2014) |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
TSUDA Ichiro 北海道大学, 大学院理学研究院, 教授 (10207384)
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| Co-Investigator(Renkei-kenkyūsha) |
SHIMIZU Masahiro 大阪大学, 情報科学研究科, 准教授 (50447140)
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| Project Period (FY) |
2014-04-01 – 2016-03-31
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| Keywords | 機能分化 / 伝送エントロピー / 数理モデル / 結合振動子 / 変分原理 / 自己組織化 / 複雑系 |
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| Outline of Final Research Achievements |
To understand a mechanism of functional differentiations in the brain, we develop a mathematical model of heterogeneous modules in the brain. We study how heterogeneous modules develop in coupled-map networks via a genetic algorithm, where the selection is based on maximizing bidirectional information transmission. Two functionally differentiated modules evolved from two homogeneous systems with random couplings, which are associated with symmetry breaking of intrasystem and intersystem couplings. From the viewpoint of system development, the present study shows how system components emerge under the presence of constraints that act on a whole system. Based on the modeling study, we construct a theory on a novel type of self-organization, where the overall development of a system follows a certain variational principle.
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| Free Research Field |
計算論的神経科学
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