Functional clustering of mouse ultrasonic vocalization data

Xiaoling Dou*, Shingo Shirahata, Hiroki Sugimoto

*この研究の対応する著者

研究成果: Article査読

7 被引用数 (Scopus)

抄録

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.

本文言語English
論文番号e0196834
ジャーナルPloS one
13
5
DOI
出版ステータスPublished - 2019 7月 1

ASJC Scopus subject areas

  • 一般

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