Automated detection of 50-kHz ultrasonic vocalizations using template matching in XBAT
Automated detection of 50-kHz ultrasonic vocalizations using template matching in XBAT
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DOI：
10.1016/j.jneumeth.2014.08.007
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发表时间：
2014-10-30
影响因子：
3
通讯作者：
West, Mark O.
中科院分区：
文献类型：
--
作者：
Barker, David J.;Herrera, Christopher;West, Mark O.
背景：超声发声(USV)已被用于多种研究范式，包括药物滥用、抑郁、恐惧或焦虑症、帕金森病的动物模型，以及研究奖赏加工的神经基础。新方法：本研究的目标是开发一种在50 kHz(35-80 kHz)范围内发声的自动识别方法，该方法使用模板检测过程。结果：实验结果表明，该方法能够检测到90%的紫外线辐射，并且大大减少了实验者分析数据所花费的时间。与现有方法相比，目前还没有可行的、公开可用的紫外线自动检测方法。本方法与XBAT环境相结合是USV社区的理想选择，因为它允许其他人(1)在用户友好的环境中检测USV，(2)对检测器进行改进和推广，(3)开发新的分析工具，在MATLAB环境下进行分析。结论：本检测器为50 kHz USV的检测提供了一种开源、准确的方法。正在进行的研究将把目前的方法扩展到22-khz频率范围的超声波发声。此外，USV研究人员之间的合作努力可能会通过更改模板和开发新的分析程序来增强当前检测器的能力。爱思唯尔出版公司(Elsevier B.V.)
Background: Ultrasonic 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 method: The 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 (35-80 kHz). The detector is designed to run within XBAT, a MATLAB graphical user interface and extensible bioacoustics tool developed at Cornell University.Results: Results 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 methods: Currently, 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.Conclusions: The 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. Published by Elsevier B.V.