2014 Fiscal Year Final Research Report
Common neural basis of Weber's law and Hick's law
Project/Area Number |
23500379
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Bioinformatics/Life informatics
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Research Institution | The Institute of Physical and Chemical Research |
Principal Investigator |
OKAMOTO Hiroshi 独立行政法人理化学研究所, 脳科学総合研究センター, 客員研究員 (00374067)
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Project Period (FY) |
2011-04-28 – 2015-03-31
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Keywords | 意思決定 / 多肢択一 / 決定時間 / 皮質回路 / 複雑ネットワーク / モジュール / コミュニティ |
Outline of Final Research Achievements |
Decision timing of multi-alternative decision is known to follow Hick's law: The decision time is a linear function of the log of the number of alternatives. However, little is known about neural mechanisms underlying Hick's law. We have succeeded in constructing a cortical circuit model that can replicate Hick's law. This model also predicts that decision timing of multi-alternative decision will follow Weber's law: The coefficient of variation of decision timing is constant with the number of alternatives. These results suggest that Hick's law and Weber's law, though links between these empirical laws have been little discussed so far, have common neural bases. We have also put forward a method of local detection communities in complex networks, which models neural mechanisms of multi-alternative decision. The proposed method outperforms a state-of-the-art method. These demonstrate that modelling the real brain is beneficial for creating novel and practically useful technology.
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Free Research Field |
脳型情報処理
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