Literature DB >> 28472651

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

Maarten Van Segbroeck1, Allison T Knoll2, Pat Levitt3, Shrikanth Narayanan1.   

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.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

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

Mesh：

Year:  2017        PMID： 28472651      PMCID： PMC5939957          DOI： 10.1016/j.neuron.2017.04.005

Source DB:  PubMed          Journal:  Neuron        ISSN： 0896-6273            Impact factor:   17.173


  43 in total

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  37 in total

1.  Low-Dimensional Spatiotemporal Dynamics Underlie Cortex-wide Neural Activity.

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6.  Computational Analysis of Neonatal Mouse Ultrasonic Vocalization.

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8.  Using animal models to evaluate the functional consequences of anesthesia during early neurodevelopment.

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9.  Finding, visualizing, and quantifying latent structure across diverse animal vocal repertoires.

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