2010 Fiscal Year Final Research Report
Modeling the acquisition process of bird song grammars based on computational learning theory
Project/Area Number |
20300056
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Research Category |
Grant-in-Aid for Scientific Research (B)
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Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Intelligent informatics
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Research Institution | The University of Electro-Communications |
Principal Investigator |
NISHINO Tetsuro The University of Electro-Communications, 大学院・情報理工学研究科, 教授 (10198484)
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Co-Investigator(Kenkyū-buntansha) |
TOMITA Etsuji 電気通信大学, 名誉教授 (40016598)
OKANOYA Kazuo 理化学研究所, 脳科学総合研究センター, チームリーダ (30211121)
TANAKA Shigeru 電気通信大学, 大学院・情報理工学研究科, 特任教授 (70281706)
YAMAZAKI Tadashi 理化学研究所, 脳科学総合研究センター, 研究員 (40392162)
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Project Period (FY) |
2008 – 2010
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Keywords | 学習と知識獲得 |
Research Abstract |
Songbird has been actively studied as a good model for their complex brain mechanism in song learning. Male Bengalese Finch learns singing by imitating external models. Birdsongs are strings of sounds as represented by sequence of alphabets. We implemented an automatic system which extracts a song grammar from a given phoneme data by using computational method, and use it to build a model of development processes of song grammars whose validity was checked by real data. Our experimental results suggest such kind of experiment on behavioral sequence is important to discover new knowledge.
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