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Neuron. 2017 May 3;94(3):465-485.e5. doi: 10.1016/j.neuron.2017.04.005.

MUPET-Mouse Ultrasonic Profile ExTraction: A Signal Processing Tool for Rapid and Unsupervised Analysis of Ultrasonic Vocalizations.

Author information

1
Department of Electrical Engineering, University of Southern California, Los Angeles, CA 90089, USA.
2
Institute for the Developing Mind, Children's Hospital Los Angeles, Los Angeles, CA 90027, USA.
3
Institute for the Developing Mind, Children's Hospital Los Angeles, Los Angeles, CA 90027, USA; Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA. Electronic address: plevitt@med.usc.edu.

Abstract

Vocalizations play a significant role in social communication across species. Analyses in rodents have used a limited number of spectro-temporal measures to compare ultrasonic vocalizations (USVs), which limits the ability to address repertoire complexity in the context of behavioral states. Using an automated and unsupervised signal processing approach, we report the development of MUPET (Mouse Ultrasonic Profile ExTraction) software, an open-access MATLAB tool that provides data-driven, high-throughput analyses of USVs. MUPET measures, learns, and compares syllable types and provides an automated time stamp of syllable events. Using USV data from a large mouse genetic reference panel and open-source datasets produced in different social contexts, MUPET analyzes the fine details of syllable production and repertoire use. MUPET thus serves as a new tool for USV repertoire analyses, with the capability to be adapted for use with other species.

KEYWORDS:

automated; communication; high-throughput; machine learning; repertoire; signal processing; social behavior; software; syllable; ultrasonic vocalizations

PMID:
28472651
PMCID:
PMC5939957
DOI:
10.1016/j.neuron.2017.04.005
[Indexed for MEDLINE]
Free PMC Article

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