Learning to cope with degraded sounds: Female zebra finches can improve their expertise at discriminating between male voices at long distance

Author:

Mouterde Solveig C.1,Elie Julie E.2,Theunissen Frédéric E.2,Mathevon Nicolas3

Affiliation:

1. Université de Saint-Etienne, France; University of California Berkeley, United States;

2. University of California Berkeley, United States;

3. Université de Saint-Etienne, France

Abstract

Abstract Reliable transmission of acoustic information about individual identity is of critical importance for pair bond maintenance in numerous monogamous songbirds. However, information transfer can be impaired by environmental constraints such as external noise or propagation-induced degradations. Birds have been shown to use several adaptive strategies to deal with difficult signal transmission contexts. Specifically, a number of studies have suggested that vocal plasticity at the emitter's level allows birds to counteract the deleterious effects of sound degradation. Although the communication process involves both the emitter and the receiver, perceptual plasticity at the receiver's level has received little attention. Here, we explored the reliability of individual recognition by female zebra finches (Taeniopygia guttata), testing whether perceptual training can improve discrimination of degraded individual vocal signatures. We found that female zebra finches are proficient in discriminating between calls of individual males at long distance, and even more so when they can train themselves with increasingly degraded signals over time. In this latter context, females succeed in discriminating between males as far as 250 m. This result emphasizes that adaptation to adverse communication conditions may not only involve the emitters' vocal plasticity, but also the receptors' decoding process through on-going learning.

Publisher

The Company of Biologists

Subject

Insect Science,Molecular Biology,Animal Science and Zoology,Aquatic Science,Physiology,Ecology, Evolution, Behavior and Systematics

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