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Enregistrement W2070312285 · doi:10.1242/jeb.064170

THE NOT-SO-PLAIN DUET OF THE PLAIN-TAILED WREN

2012· article· en· W2070312285 sur OpenAlexaff
Viviana Cadena

Notice bibliographique

RevueJournal of Experimental Biology · 2012
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueAnimal Vocal Communication and Behavior
Établissements canadiensBrock University
Organismes subventionnairesnon disponible
Mots-clésSingingDuration (music)ThicketBiologyCommunicationEcologyZoologyAcousticsPsychologyArtLiterature

Résumé

récupéré en direct d'OpenAlex

Among the beautiful, colourful birds inhabiting the Andean mountains of Ecuador, plain-tailed wrens seem rather underwhelming; little drab-looking birds hopping around bamboo thickets looking for the insects that will be their next meal. However, despite their dull appearance, plain-tailed wrens’ songs are anything but plain. Like a stereo recording, you can hear the song coming from two places at once, as it is a perfectly coordinated duet where the male and female rapidly alternate syllables of the tune. The syllables don’t overlap, as each of the singers leaves gaps where their partner interjects with remarkable precision.A team of scientists from the US and Ecuador, led by Eric Fortune at Johns Hopkins University, investigated how plain-tailed wrens are able to coordinate their amazing duet. From over 150 h of audio recordings, the scientists were able to extract and analyse over 1000 songs from plain-tailed wrens. They discovered that while most of the time pairs of wrens sang together, sometimes both males and females sang by themselves, each singing their part of the song, leaving gaps where their counterpart would normally interject. Because the duration of these gaps was larger and more variable during solo singing than during duets, the authors conclude that wrens do not just follow a fixed pattern when producing their song, but instead rely on auditory cues from their partner to determine the length of the gaps between syllables. Interestingly, the songs of solo males were more variable and infrequent than those of females, who were frequently recorded singing by themselves. Moreover, sometimes males made mistakes during a duet, failing to sing their part of the song. On these occasions, the female would continue singing her part, leaving larger gaps between her syllables until the male joined in again. These observations suggest that female plain-tailed wrens may be the leading duetting partner.Fortune and his team also examined how the brain of the wrens encoded the song. They captured six birds and recorded the responses of individual neurons in the part of the brain responsible for learning and production of songs (the high vocal centre). The scientists played back the birds’ own duets as well as individual syllables from the male and female singers. The reaction of both the males and females was strongest to the duet, and was larger than the reactions to either the male or female solos or even the sum of the two responses together. However, both males and females exhibited a more pronounced response to the female syllables alone than to the male song. These results demonstrate that the complete song is encoded in both male and female wren brains and, again, suggests that females take the leading role.The findings from this study might reveal the mechanisms of cooperative behaviour that occurs among other animals. Each partner needs to know the part they play, but they also need to be able to receive cues from their partner in order to know when and how to play their own part. Moreover, they both need to be more tuned in to the leader’s cues for the operation to succeed. It takes two to tango, after all.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,009

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0010,002
Communication savante0,0010,002
Science ouverte0,0000,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,026
Tête enseignante GPT0,326
Écart entre enseignants0,300 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2012
Routes d'admission1
Résumé présentoui

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