Heterogeneous profiles of coupled sleep oscillations in human hippocampus

  • In natural environments, background noise can degrade the integrity of acoustic signals, posing a problem for animals that rely on their vocalizations for communication and navigation. A simple behavioral strategy to combat acoustic interference would be to restrict call emissions to periods of low-amplitude or no noise. Using audio playback and computational tools for the automated detection of over 2.5 million vocalizations from groups of freely vocalizing bats, we show that bats (Carollia perspicillata) can dynamically adapt the timing of their calls to avoid acoustic jamming in both predictably and unpredictably patterned noise. This study demonstrates that bats spontaneously seek out temporal windows of opportunity for vocalizing in acoustically crowded environments, providing a mechanism for efficient echolocation and communication in cluttered acoustic landscapes.

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Author:Roy CoxORCiD, Theodor RüberORCiDGND, Bernhard P. StaresinaORCiD, Jürgen FellORCiD
Parent Title (English):bioRxiv
Document Type:Preprint
Date of Publication (online):2019/07/24
Date of first Publication:2019/07/24
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2023/09/04
Tag:cross-frequency coupling; electrophysiology; hippocampus; individual differences; sleep
Page Number:35
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Licence (German):License LogoCreative Commons - CC BY-NC - Namensnennung - Nicht kommerziell 4.0 International