2013 Fiscal Year Final Research Report
Generation of meta-rule through dynamical systems with multiple timescales: towards a theory of learning and evolution
| Project Area | The study on the neural dynamics for understanding communication in terms of complex hetero systems |
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| Project/Area Number |
21120004
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| Research Category |
Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
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| Allocation Type | Single-year Grants |
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| Review Section |
Complex systems
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| Research Institution | The University of Tokyo |
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Principal Investigator |
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| Project Period (FY) |
2009-07-23 – 2014-03-31
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| Keywords | 力学系 / カオス的遍歴 / 可塑性 / 学習 / 進化 |
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| Research Abstract |
Biological systems consists of hierarchy with different time scales.
Slow units provide a rule for faster units, while the former are changed by the latter, as seen in the relation between synapse change and neural activity in learning, or phenotypic change by the genotype in evolution. Development and adaptation also consist of such hierarchy of time scales. We study such dynamics of dynamical systems; (1)memory and learning of input-output relationship as bifurcation(2) stem cell differentiation as interaction-induced bifurcation of intra-cellular dynamical systems (3)high-dimensional adaptation dynamics (4)evolutionary correspondence between genotypic variation and phenotypic dynamics; evolution of rules of robust dynamics (5) chaotic itinerancy of fast-slow dynamics. With this study, we uncover how heterogeneous dynamical systems lead to plastic and robust generation of rules that govern the system itself, thereby providing a basis for mathematical study of biological systems
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