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Full-Text Articles in Other Animal Sciences
Encoding Of Emotional Valence In Wild Boar (Sus Scrofa) Calls, Anne-Laure Maigrot, Edna Hillmann, Elodie Briefer
Encoding Of Emotional Valence In Wild Boar (Sus Scrofa) Calls, Anne-Laure Maigrot, Edna Hillmann, Elodie Briefer
Elodie Briefer, PhD
Measuring emotions in nonhuman mammals is challenging. As animals are not able to verbally report how they feel, we need to find reliable indicators to assess their emotional state. Emotions can be described using two key dimensions: valence (negative or positive) and arousal (bodily activation or excitation). In this study, we investigated vocal expression of emotional valence in wild boars (Sus scrofa). The animals were observed in three naturally occurring situations: anticipation of a food reward (positive), affiliative interactions (positive), and agonistic interactions (negative). Body movement was used as an indicator of emotional arousal to control for the effect of …
Mutual Mother–Offspring Vocal Recognition In An Ungulate Hider Species (Capra Hircus), Elodie F. Briefer, Alan G. Mcelligott
Mutual Mother–Offspring Vocal Recognition In An Ungulate Hider Species (Capra Hircus), Elodie F. Briefer, Alan G. Mcelligott
Alan G. McElligott, PhD
Parent–offspring recognition can be essential for offspring survival and important to avoid misdirected parental care when progeny mingle in large social groups. In ungulates, offspring anti-predator strategies (hiding vs. following) result in differences in mother–offspring interactions, and thus different selection pressures acting on the recognition process during the first weeks of life. Hider offspring are isolated and relatively stationary and silent to avoid detection by predators, whereas follower offspring are mobile and rapidly mix in large social groups. For these reasons, hiders have been suggested to show low offspring call individuality leading to unidirectional recognition of mothers by offspring and …
Indicators Of Age, Body Size And Sex In Goat Kid Calls Revealed Using The Source–Filter Theory, Elodie F. Briefer, Alan G. Mcelligott
Indicators Of Age, Body Size And Sex In Goat Kid Calls Revealed Using The Source–Filter Theory, Elodie F. Briefer, Alan G. Mcelligott
Alan G. McElligott, PhD
The source–filter theory is an important framework recently applied to the study of animal vocalisations, which links the mode of vocal production to call parameters. Vocalisations can be good indicators of a sender’s characteristics, such as identity, body size, age, and even hormonal status and affective states. For these reasons, applied vocal communication research would greatly benefit from adopting the source–filter theory approach to identify key call parameters linked to physical and physiological characteristics of domestic animals. Here, we introduce the source–filter theory through a detailed analysis and interpretation of goat contact calls during development. In mammals, vocal development is …
Artificial Neural Network Approach For Revealing Individuality, Group Membership And Age Information In Goat Kid Contact Calls, Livio Favaro, Elodie F. Briefer, Alan G. Mcelligott
Artificial Neural Network Approach For Revealing Individuality, Group Membership And Age Information In Goat Kid Contact Calls, Livio Favaro, Elodie F. Briefer, Alan G. Mcelligott
Alan G. McElligott, PhD
Machine learning techniques are becoming an important tool for studying animal vocal communication. The goat (Capra hircus) is a very social species, in which vocal communication and recognition are important. We tested the reliability of a Multi-Layer Perceptron (feed-forward Artificial Neural Network, ANN) to automate the process of classification of calls according to individual identity, group membership and maturation in this species. Vocalisations were obtained from 10 half-sibling (same father but different mothers) goat kids, belonging to 3 distinct social groups. We recorded 157 contact calls emitted during first week, and 164 additional calls recorded from the same individuals at …
Artificial Neural Network Approach For Revealing Individuality, Group Membership And Age Information In Goat Kid Contact Calls, Livio Favaro, Elodie F. Briefer, Alan G. Mcelligott
Artificial Neural Network Approach For Revealing Individuality, Group Membership And Age Information In Goat Kid Contact Calls, Livio Favaro, Elodie F. Briefer, Alan G. Mcelligott
Elodie Briefer, PhD
Machine learning techniques are becoming an important tool for studying animal vocal communication. The goat (Capra hircus) is a very social species, in which vocal communication and recognition are important. We tested the reliability of a Multi-Layer Perceptron (feed-forward Artificial Neural Network, ANN) to automate the process of classification of calls according to individual identity, group membership and maturation in this species. Vocalisations were obtained from 10 half-sibling (same father but different mothers) goat kids, belonging to 3 distinct social groups. We recorded 157 contact calls emitted during first week, and 164 additional calls recorded from the same individuals at …