Information-theoretic Analysis for Understanding the Behavior of Song Learning by the Bengalese Finch

• Item type: Trans(1)
• 公開日: 2011-07-20
• タイトル: Information-theoretic Analysis for Understanding the Behavior of Song Learning by the Bengalese Finch
• タイトル / 言語: en
• タイトル: Information-theoretic Analysis for Understanding the Behavior of Song Learning by the Bengalese Finch
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: オリジナル論文
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Information and Communication Engineering, The University of Electro-Communications, Tokyo, Japan
• 著者所属: Information and Communication Engineering, The University of Electro-Communications, Tokyo, Japan
• 著者所属: Laboratory for Biolinguistics, RIKEN Brain Science Institute (BSI), Saitama, Japan
• 著者所属: Laboratory for Biolinguistics, RIKEN Brain Science Institute (BSI), Saitama, Japan
• 著者所属: Laboratory for Biolinguistics, RIKEN Brain Science Institute (BSI), Saitama, Japan
• 著者所属(英): en
• 著者所属(英): Information and Communication Engineering, The University of Electro-Communications, Tokyo, Japan
• 著者所属(英): en
• 著者所属(英): Information and Communication Engineering, The University of Electro-Communications, Tokyo, Japan
• 著者所属(英): en
• 著者所属(英): Laboratory for Biolinguistics, RIKEN Brain Science Institute (BSI), Saitama, Japan
• 著者所属(英): en
• 著者所属(英): Laboratory for Biolinguistics, RIKEN Brain Science Institute (BSI), Saitama, Japan
• 著者所属(英): en
• 著者所属(英): Laboratory for Biolinguistics, RIKEN Brain Science Institute (BSI), Saitama, Japan
• 著者名: KhanMd.MahfuzusSalam; Tetsuro, Nishino; Kazutoshi, Sasahara; Miki, Takahasi; Kazuo, Okanoya
• 著者名(英): Khan, Md.MahfuzusSalam; Tetsuro, Nishino; Kazutoshi, Sasahara; Miki, Takahasi; Kazuo, Okanoya
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: Songbirds have been actively studied for their complex brain mechanism of sensor-motor integration during song learning. Male Bengalese finches learn singing by imitating external models to produce songs. In general, birdsong which is string of sounds is represented by a sequence of letters called song notes. In this study, we focus on information-theoretic analysis of these sequential data to explore the complexity and diversity of birdsong, and learning process throughout song development. We design and develop the analysis tool which has many features to do analysis for the sequential data. For experiment, we employ thirteen male Bengalese finches, each with different bouts of song data. By applying ethological data mining to these data, we discover that the finches follow two types of song learning mechanism: practice mode and adopt mode. In addition, over the analysis we find that it is possible to visualize the song features, e.g., traditional transmission, by contour surface diagram of the transition matrix. Furthermore, we can easily identify the families from these contour surface diagrams, which is a very challenging task in general. Our obtained results indicate that analysis based on data mining is a versatile technique to explore new aspects related to behavioral science.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: Songbirds have been actively studied for their complex brain mechanism of sensor-motor integration during song learning. Male Bengalese finches learn singing by imitating external models to produce songs. In general, birdsong which is string of sounds is represented by a sequence of letters called song notes. In this study, we focus on information-theoretic analysis of these sequential data to explore the complexity and diversity of birdsong, and learning process throughout song development. We design and develop the analysis tool which has many features to do analysis for the sequential data. For experiment, we employ thirteen male Bengalese finches, each with different bouts of song data. By applying ethological data mining to these data, we discover that the finches follow two types of song learning mechanism: practice mode and adopt mode. In addition, over the analysis we find that it is possible to visualize the song features, e.g., traditional transmission, by contour surface diagram of the transition matrix. Furthermore, we can easily identify the families from these contour surface diagrams, which is a very challenging task in general. Our obtained results indicate that analysis based on data mining is a versatile technique to explore new aspects related to behavioral science.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AA11464803
• 書誌情報: 情報処理学会論文誌数理モデル化と応用（TOM）; 巻 4, 号 3, p. 49-58, 発行日 2011-07-20
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7780
• 出版者 / 言語: ja
• 出版者: 情報処理学会