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Of Mice, Birds, and Men: The Mouse Ultrasonic Song System Has Some Features Similar to Humans and Song-Learning Birds

Overview of attention for article published in PLOS ONE, October 2012
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Title
Of Mice, Birds, and Men: The Mouse Ultrasonic Song System Has Some Features Similar to Humans and Song-Learning Birds
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0046610
Pubmed ID
Authors

Gustavo Arriaga, Eric P. Zhou, Erich D. Jarvis

Abstract

Humans and song-learning birds communicate acoustically using learned vocalizations. The characteristic features of this social communication behavior include vocal control by forebrain motor areas, a direct cortical projection to brainstem vocal motor neurons, and dependence on auditory feedback to develop and maintain learned vocalizations. These features have so far not been found in closely related primate and avian species that do not learn vocalizations. Male mice produce courtship ultrasonic vocalizations with acoustic features similar to songs of song-learning birds. However, it is assumed that mice lack a forebrain system for vocal modification and that their ultrasonic vocalizations are innate. Here we investigated the mouse song system and discovered that it includes a motor cortex region active during singing, that projects directly to brainstem vocal motor neurons and is necessary for keeping song more stereotyped and on pitch. We also discovered that male mice depend on auditory feedback to maintain some ultrasonic song features, and that sub-strains with differences in their songs can match each other's pitch when cross-housed under competitive social conditions. We conclude that male mice have some limited vocal modification abilities with at least some neuroanatomical features thought to be unique to humans and song-learning birds. To explain our findings, we propose a continuum hypothesis of vocal learning.

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Geographical breakdown

Country Count As %
United States 12 3%
Netherlands 3 <1%
Germany 2 <1%
Italy 1 <1%
Israel 1 <1%
Finland 1 <1%
United Kingdom 1 <1%
Brazil 1 <1%
Denmark 1 <1%
Other 3 <1%
Unknown 368 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 112 28%
Researcher 77 20%
Student > Master 36 9%
Student > Bachelor 30 8%
Student > Doctoral Student 23 6%
Other 57 14%
Unknown 59 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 133 34%
Neuroscience 78 20%
Psychology 32 8%
Medicine and Dentistry 11 3%
Linguistics 10 3%
Other 57 14%
Unknown 73 19%