ArticleJournal of neuroscience methods2014
Automated detection of 50-kHz ultrasonic vocalizations using template matching in XBAT.
Article in Journal of neuroscience methods, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Automatic detection for bioacoustic research: a practical guide from and for biologists and computer scientists.Biological reviews of the Cambridge Philosophical Society · 2025Review
- TrackUSF, a novel tool for automated ultrasonic vocalization analysis, reveals modified calls in a rat model of autism.BMC biology · 2022Article
- Utilizing DeepSqueak for automatic detection and classification of mammalian vocalizations: a case study on primate vocalizations.Scientific reports · 2021Article
- Nucleus Accumbens Chemogenetic Inhibition Suppresses Amphetamine-Induced Ultrasonic Vocalizations in Male and Female Rats.Brain sciences · 2021Article
- Acoustilytix™: A Web-Based Automated Ultrasonic Vocalization Scoring Platform.Brain sciences · 2021Article
- Emergence of negative affect as motivation for drug taking in rats chronically self-administering cocaine.Psychopharmacology · 2020Article
- Sex-specific ultrasonic vocalization patterns and alcohol consumption in high alcohol-drinking (HAD-1) rats.Physiology & behavior · 2019Article
- DeepSqueak: a deep learning-based system for detection and analysis of ultrasonic vocalizations.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2019Article
- Chemokines and 'bath salts': CXCR4 receptor antagonist reduces rewarding and locomotor-stimulant effects of the designer cathinone MDPV in rats.Drug and alcohol dependence · 2018Article
- Rodent ultrasonic vocalizations as biomarkers of future alcohol use: A predictive analytic approach.Cognitive, affective & behavioral neuroscience · 2018Article
- Suvorexant, an orexin/hypocretin receptor antagonist, attenuates motivational and hedonic properties of cocaine.Addiction biology · 2018Article
- Comparing rewarding and reinforcing properties between 'bath salt' 3,4-methylenedioxypyrovalerone (MDPV) and cocaine using ultrasonic vocalizations in rats.Addiction biology · 2018Article
- Sexual dimorphism in laryngeal muscle fibers and ultrasonic vocalizations in the adult rat.The Laryngoscope · 2017Article
- Automated acoustic analysis of 50-kHz ultrasonic vocalizations using template matching and contour analysis.The Journal of the Acoustical Society of America · 2017Article
- Changes in Rat 50-kHz Ultrasonic Vocalizations During Dopamine Denervation and Aging: Relevance to Neurodegeneration.Current neuropharmacology · 2015Review
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Authors and funding
3 authors.
Funding
Abstract
backgroundUltrasonic vocalizations (USVs) have been utilized to infer animals' affective states in multiple research paradigms including animal models of drug abuse, depression, fear or anxiety disorders, Parkinson's disease, and in studying neural substrates of reward processing. Currently, the analysis of USV data is performed manually, and thus is time consuming. NEW
methodThe goal of the present study was to develop a method for automated USV recognition using a 'template detection' procedure for vocalizations in the 50-kHz range (35-80kHz). The detector is designed to run within XBAT, a MATLAB graphical user interface and extensible bioacoustics tool developed at Cornell University.
resultsResults show that this method is capable of detecting >90% of emitted USVs and that time spent analyzing data by experimenters is greatly reduced. COMPARISON WITH EXISTING
methodsCurrently, no viable and publicly available methods exist for the automated detection of USVs. The present method, in combination with the XBAT environment is ideal for the USV community as it allows others to (1) detect USVs within a user-friendly environment, (2) make improvements to the detector and disseminate and (3) develop new tools for analysis within the MATLAB environment.
conclusionsThe present detector provides an open-source, accurate method for the detection of 50-kHz USVs. Ongoing research will extend the current method for use in the 22-kHz frequency range of ultrasonic vocalizations. Moreover, collaborative efforts among USV researchers may enhance the capabilities of the current detector via changes to the templates and the development of new programs for analysis.
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