Functional clustering of mouse ultrasonic vocalization data

Xiaoling Dou, Shingo Shirahata, Hiroki Sugimoto

研究成果: Article

3 引用 (Scopus)

抜粋

Mouse ultrasonic vocalizations (USVs) are studied in many fields of science. However, various noise and varied USV patterns in observed signals make complete automatic analysis difficult. We improve several methods to reduce noise, detect USV calls and automatically cluster USV calls. After reduction of noise and detection of USV calls, we consider USV calls as functional data and characterize them as USV functions with B-spline basis functions. For discontinuous USV calls, breakpoints in the USV functions are defined using multiple knots in the construction of the B-spline basis functions, and a hierarchical method is used to cluster the USV functions by shape. We finally show the performance of the proposed methods with USV data recorded for laboratory mice.

元の言語English
記事番号e0196834
ジャーナルPloS one
13
発行部数5
DOI
出版物ステータスPublished - 2019 7 1

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)
  • General

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