Editorial: Recent Advances in Animal Cognition and Ethology

Sueur, Cédric; Pelé, Marie

doi:10.3390/ani13182890

Cited by 1 publication

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“…The social behaviors of animals in the wild pose a significant challenge for computational analysis. Unlike controlled laboratory settings, the wild environment presents a multitude of variables, ranging from environmental factors to unpredictable behavioral dynamics [36][37][38] . Moreover, the inconsistency in recording locations and the low chances of encountering the wild animals can make the videos highly variable and low in quantity.…”

Section: Distinguishing Social Roles Of Japanese Macaques In the Fieldmentioning

confidence: 99%

Quantifying social roles in multi-animal videos using subject-aware deep-learning

Goss,

Bueno-Junior,

Stangis

et al. 2024

Preprint

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Analyzing social behaviors is critical for many fields, including neuroscience, psychology, and ecology. While computational tools have been developed to analyze videos containing animals engaging in limited social interactions under specific experimental conditions, automated identification of the social roles of freely moving individuals in a multi-animal group remains unresolved. Here we describe a deep-learning-based system – named LabGym2 – for identifying and quantifying social roles in multi-animal groups. This system uses a subject-aware approach: it evaluates the behavioral state of every individual in a group of two or more animals while factoring in its social and environmental surroundings. We demonstrate the performance of subject-aware deep-learning in different species and assays, from partner preference in freely-moving insects to primate social interactions in the field. Our subject-aware deep learning approach provides a controllable, interpretable, and efficient framework to enable new experimental paradigms and systematic evaluation of interactive behavior in individuals identified within a group.

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Section: Distinguishing Social Roles Of Japanese Macaques In the Fieldmentioning

confidence: 99%

Quantifying social roles in multi-animal videos using subject-aware deep-learning

Goss,

Bueno-Junior,

Stangis

et al. 2024

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

Editorial: Recent Advances in Animal Cognition and Ethology

Abstract: Animal cognition and ethology, the scientific study of animal behaviour, have long captivated the human imagination [...]

Cited by 1 publication

References 36 publications

Quantifying social roles in multi-animal videos using subject-aware deep-learning

Quantifying social roles in multi-animal videos using subject-aware deep-learning

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