Projects per year
Abstract
Human vocal development and speech learning require acoustic feedback, and humans who are born deaf do not acquire a normal adult speech capacity. Most other mammals display a largely innate vocal repertoire. Like humans, bats are thought to be one of the few taxa capable of vocal learning as they can acquire new vocalizations by modifying vocalizations according to auditory experiences. We investigated the effect of acoustic deafening on the vocal development of the pale spear-nosed bat. Three juvenile pale spear-nosed bats were deafened, and their vocal development was studied in comparison with an age-matched, hearing control group. The results show that during development the deafened bats increased their vocal activity, and their vocalizations were substantially altered, being much shorter, higher in pitch, and more aperiodic than the vocalizations of the control animals. The pale spear-nosed bat relies on auditory feedback for vocal development and, in the absence of auditory input, species-atypical vocalizations are acquired. This work serves as a basis for further research using the pale spear-nosed bat as a mammalian model for vocal learning, and contributes to comparative studies on hearing impairment across species.
Original language | English |
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Article number | 20200253 |
Number of pages | 6 |
Journal | Philosophical Transactions of the Royal Society B: Biological Sciences |
Volume | 376 |
Issue number | 1836 |
Early online date | 6 Sept 2021 |
DOIs | |
Publication status | Published - 25 Oct 2021 |
Keywords
- Vocal development
- Vocal learning
- Deafening
- Auditory feedback
- Hearing impairment
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- 1 Active
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Sonja Vernes UKRI Future Leaders: Mammalian vocal communication as a model for human language; from genes and brains to behaviour
Vernes, S. (PI)
1/11/20 → 31/10/24
Project: Fellowship
Datasets
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Data for “Learning how to call: the vocal development of the pale spear-nosed bat is dependent on auditory feedback”
Lattenkamp, E. Z. (Contributor), Linnenschmidt, M. (Contributor), Mardus, E. (Contributor), Vernes, S. C. (Contributor), Wiegrebe, L. (Contributor) & Schutte, M. (Contributor), German Neuroinformatics Node, 23 Sept 2020
Dataset