Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 4 of 4
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 …
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 …
Vocal Recognition In Mexican Free-Tailed Bats: Do Pups Recognize Mothers?, Jonathan Balcombe, Gary F. Mccracken
Vocal Recognition In Mexican Free-Tailed Bats: Do Pups Recognize Mothers?, Jonathan Balcombe, Gary F. Mccracken
Jonathan Balcombe, PhD
Mother Mexican free-tailed bats, Tadarida brasiliensis mexicana, produce 'directive' calls while searching for pups inside cave maternity roosts. These calls consist of highly repetitive pulses of sound uttered in rapid sequence. Calls are sufficiently intense that they are perceptible above the substantial background noise within roosts at distances of at least 1m. Calls are stereotyped within individuals, and statistically discriminable between individuals. These characteristics are expected for vocalizations that function for mother-pup reunions, and are shared with directive calls described previously in other bats. Mother T. b. mexicana directive calls are statistically no less discriminable than are the isolation calls …