Evidence map›Paper›PMID 27965602›Full record

ArticleFrontiers in psychology2016

A New Semi-automated Method for Assessing Avian Acoustic Networks Reveals that Juvenile and Adult Zebra Finches Have Separate Calling Networks.

Marie S A Fernandez, Hedi A Soula, Mylene M Mariette, Clémentine Vignal

Abstract read
In one paragraph

Article in Frontiers in psychology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Marie S A FernandezUniv Lyon, UJM-Saint-Etienne, Centre Nationnal de la Recherche Scientifique, Neuro-PSI/ENES UMR9197Saint-Etienne, France; EPI BEAGLE INRIAVilleurbanne, France.
Hedi A SoulaEPI BEAGLE INRIAVilleurbanne, France; Institut National de la Santé et de la Recherche Médicale U1060 INSAVilleurbanne, France.
Mylene M MarietteUniv Lyon, UJM-Saint-Etienne, Centre Nationnal de la Recherche Scientifique, Neuro-PSI/ENES UMR9197Saint-Etienne, France; Centre for Integrative Ecology, School of Life and Environmental Sciences, Deakin UniversityGeelong, VIC, Australia.
Clémentine VignalUniv Lyon, UJM-Saint-Etienne, Centre Nationnal de la Recherche Scientifique, Neuro-PSI/ENES UMR9197 Saint-Etienne, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social networks are often inferred from spatial associations, but other parameters like acoustic communication are likely to play a central role in within group interactions. However, it is currently difficult to determine which individual initiates vocalizations, or who responds to whom. To this aim, we designed a method that allows analyzing group vocal network while controlling for spatial networks, by positioning each group member in equidistant individual cages and analyzing continuous vocal interactions semi-automatically. We applied this method to two types of zebra finch groups, composed of either two adult females and two juveniles, or four young adults (juveniles from the first groups). Young often co-occur in the same social group as adults but are likely to have a different social role, which may be reflected in their vocal interactions. Therefore, we tested the hypothesis that the social structure of the group influences the parameters of the group vocal network. We found that groups including juveniles presented periods with higher level of activity than groups composed of young adults. Using two types of analyses (Markov analysis and cross-correlation), we showed that juveniles as well as adults were more likely to respond to individuals of their own age-class (i.e. to call one after another, in terms of turn-taking, and within a short time-window, in terms of time delay). When juveniles turned into adulthood, they showed adult characteristics of vocal patterns. Together our results suggest that vocal behavior changes during ontogeny, and individuals are more strongly connected with individuals of the same age-class within acoustic networks.

Indexed as

acoustic communicationconversation rulesdevelopmentontogenysongbirdturn-takingvocal interactions

Identifiers

PMID27965602
PMCPMC5126114

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.