High-precision spatial localization of mouse vocalizations during social interaction

Abstract Mice display a wide repertoire of vocalizations that varies with age, sex, and context. Especially during courtship, mice emit ultrasonic vocalizations (USVs) of high complexity, whose detailed structure is poorly understood. As animals of both sexes vocalize, the study of social vocalizati...

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Autores principales:	Jesse J. Heckman, Rémi Proville, Gert J. Heckman, Alireza Azarfar, Tansu Celikel, Bernhard Englitz
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/dd29c3da5f0546ac9d6d954ced3606e1
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spelling	oai:doaj.org-article:dd29c3da5f0546ac9d6d954ced3606e12021-12-02T12:32:20ZHigh-precision spatial localization of mouse vocalizations during social interaction10.1038/s41598-017-02954-z2045-2322https://doaj.org/article/dd29c3da5f0546ac9d6d954ced3606e12017-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-02954-zhttps://doaj.org/toc/2045-2322Abstract Mice display a wide repertoire of vocalizations that varies with age, sex, and context. Especially during courtship, mice emit ultrasonic vocalizations (USVs) of high complexity, whose detailed structure is poorly understood. As animals of both sexes vocalize, the study of social vocalizations requires attributing single USVs to individuals. The state-of-the-art in sound localization for USVs allows spatial localization at centimeter resolution, however, animals interact at closer ranges, involving tactile, snout-snout exploration. Hence, improved algorithms are required to reliably assign USVs. We develop multiple solutions to USV localization, and derive an analytical solution for arbitrary vertical microphone positions. The algorithms are compared on wideband acoustic noise and single mouse vocalizations, and applied to social interactions with optically tracked mouse positions. A novel, (frequency) envelope weighted generalised cross-correlation outperforms classical cross-correlation techniques. It achieves a median error of ~1.4 mm for noise and ~4–8.5 mm for vocalizations. Using this algorithms in combination with a level criterion, we can improve the assignment for interacting mice. We report significant differences in mean USV properties between CBA mice of different sexes during social interaction. Hence, the improved USV attribution to individuals lays the basis for a deeper understanding of social vocalizations, in particular sequences of USVs.Jesse J. HeckmanRémi ProvilleGert J. HeckmanAlireza AzarfarTansu CelikelBernhard EnglitzNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-16 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jesse J. Heckman Rémi Proville Gert J. Heckman Alireza Azarfar Tansu Celikel Bernhard Englitz High-precision spatial localization of mouse vocalizations during social interaction
description	Abstract Mice display a wide repertoire of vocalizations that varies with age, sex, and context. Especially during courtship, mice emit ultrasonic vocalizations (USVs) of high complexity, whose detailed structure is poorly understood. As animals of both sexes vocalize, the study of social vocalizations requires attributing single USVs to individuals. The state-of-the-art in sound localization for USVs allows spatial localization at centimeter resolution, however, animals interact at closer ranges, involving tactile, snout-snout exploration. Hence, improved algorithms are required to reliably assign USVs. We develop multiple solutions to USV localization, and derive an analytical solution for arbitrary vertical microphone positions. The algorithms are compared on wideband acoustic noise and single mouse vocalizations, and applied to social interactions with optically tracked mouse positions. A novel, (frequency) envelope weighted generalised cross-correlation outperforms classical cross-correlation techniques. It achieves a median error of ~1.4 mm for noise and ~4–8.5 mm for vocalizations. Using this algorithms in combination with a level criterion, we can improve the assignment for interacting mice. We report significant differences in mean USV properties between CBA mice of different sexes during social interaction. Hence, the improved USV attribution to individuals lays the basis for a deeper understanding of social vocalizations, in particular sequences of USVs.
format	article
author	Jesse J. Heckman Rémi Proville Gert J. Heckman Alireza Azarfar Tansu Celikel Bernhard Englitz
author_facet	Jesse J. Heckman Rémi Proville Gert J. Heckman Alireza Azarfar Tansu Celikel Bernhard Englitz
author_sort	Jesse J. Heckman
title	High-precision spatial localization of mouse vocalizations during social interaction
title_short	High-precision spatial localization of mouse vocalizations during social interaction
title_full	High-precision spatial localization of mouse vocalizations during social interaction
title_fullStr	High-precision spatial localization of mouse vocalizations during social interaction
title_full_unstemmed	High-precision spatial localization of mouse vocalizations during social interaction
title_sort	high-precision spatial localization of mouse vocalizations during social interaction
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/dd29c3da5f0546ac9d6d954ced3606e1
work_keys_str_mv	AT jessejheckman highprecisionspatiallocalizationofmousevocalizationsduringsocialinteraction AT remiproville highprecisionspatiallocalizationofmousevocalizationsduringsocialinteraction AT gertjheckman highprecisionspatiallocalizationofmousevocalizationsduringsocialinteraction AT alirezaazarfar highprecisionspatiallocalizationofmousevocalizationsduringsocialinteraction AT tansucelikel highprecisionspatiallocalizationofmousevocalizationsduringsocialinteraction AT bernhardenglitz highprecisionspatiallocalizationofmousevocalizationsduringsocialinteraction
_version_	1718394126364311552

High-precision spatial localization of mouse vocalizations during social interaction

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