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Related Experiment Video

Updated: May 9, 2026

Eliciting and Analyzing Male Mouse Ultrasonic Vocalization (USV) Songs
08:44

Eliciting and Analyzing Male Mouse Ultrasonic Vocalization (USV) Songs

Published on: May 9, 2017

Automating ultrasonic vocalization analyses: the WAAVES program.

James M Reno1, Bryan Marker, Lawrence K Cormack

  • 1The University of Texas at Austin, Department of Psychology, Behavioral Neuroscience, 108 East Dean Keeton Avenue, Stop A8000, Austin, TX 78712-1043, USA. jreno@utexas.edu

Journal of Neuroscience Methods
|July 9, 2013
PubMed
Summary
This summary is machine-generated.

WAAVES, an automated program, accurately analyzes rodent ultrasonic vocalizations (USVs) for drug abuse research, significantly reducing assessment time compared to manual methods.

Keywords:
AddictionCocaineCravingRatSelf-administrationUSV

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Related Experiment Videos

Last Updated: May 9, 2026

Eliciting and Analyzing Male Mouse Ultrasonic Vocalization (USV) Songs
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Published on: May 9, 2017

Targeted Training of Ultrasonic Vocalizations in Aged and Parkinsonian Rats
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Published on: August 8, 2011

Recording Mouse Ultrasonic Vocalizations to Evaluate Social Communication
10:28

Recording Mouse Ultrasonic Vocalizations to Evaluate Social Communication

Published on: June 5, 2016

Area of Science:

  • Neuroscience
  • Behavioral Science
  • Pharmacology

Background:

  • Human emotion is integral to drug abuse and addiction.
  • Rodent ultrasonic vocalizations (USVs) serve as a translational model for emotion in addiction studies.
  • Manual analysis of USVs is time-consuming, hindering research progress.

Purpose of the Study:

  • To introduce WAAVES (WAV-file Automated Analysis of Vocalizations Environment Specific), a novel automated program for USV assessment.
  • To validate WAAVES's accuracy and efficiency in analyzing USVs.

Main Methods:

  • WAAVES utilizes MATLAB toolboxes and custom filters to process USV audio files.
  • The program separates USVs from background noise and categorizes them as flat or frequency-modulated (FM).
  • WAAVES was tested on USV data from cocaine self-administration experiments.

Main Results:

  • WAAVES counts demonstrated a high correlation with human auditory counts (r=0.9925, p<0.001).
  • Statistical analyses of WAAVES output revealed individual differences in USV responses to cocaine and associated cues.
  • The program facilitated examination of relationships between USVs, cocaine intake, and locomotor activity.

Conclusions:

  • WAAVES provides highly accurate USV data tabulation in a fraction of the time required for manual analysis.
  • Automated USV assessment using WAAVES streamlines research and enhances the utility of USVs in drug abuse studies.
  • This tool can advance the development of effective addiction treatments.