Clustering on Mouse Ultrasonic Vocalization Data(Session 1a)

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概要

• 論文の詳細を見る

• It has been found that male mice emit ultrasonic vocalizations (USVs) towards females during male-female interaction. The purpose of this paper is to classify the waveforms of the mouse USV data. The data are transformed by FFT (Fast Fourier Transformation). Because the USV data are very noisy, it is impossible to analyze them by existing software. We first smooth the USV waveforms from the noisy data by a moving average method, and then fit them with a polynomial regression. After that, we classify the obtained USV curves by a functional clustering method. This analysis also can help us to find a rule (or grammar) of the USVs in communication between mice.

• 日本計算機統計学会の論文
• 2011-11-11

著者

• Koide Tsuyoshi

  National Institute of Basic Biology, Osaka Univ.

• Dou Xiaoling

  The Institute Of Statistical Mathematics

• Shirahata Shingo

  Graduate School of Engineering Science, Osaka University

• Shirahata Shingo

  Graduate School Of Engineering Science Osaka University

• Sugimoto Hiroki

  Jichi Medical University

• Koide Tsuyoshi

  National Institute Of Genetics

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• Clustering on Mouse Ultrasonic Vocalization Data(Session 1a)

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