Topic: multi-animal pose estimation

Multi-animal pose estimation is essential for studying animals' social behaviors in neuroscience and neuroethology. Advanced approaches have been proposed to support multi-animal estimation and achieve state-of-the-art performance. However, these models rarely exploit unlabeled data during training even though real-world applications have exponentially more unlabeled frames than labeled frames. Manually adding dense annotations for a large number of images is costly and labor-intensive, especially for multiple instances. To reduce the need for laborious human labeling, we propose a semi-superv

Social behaviors result from processing social cues (sensory cues from a partner) and producing actions relative to both the other’s behavior and one’s own internal state. How these two (social sensory cues and internal states) come together to drive behavior on a moment-to-moment basis is not yet clear. Here we fill this gap focusing on social interactions in Drosophila melanogaster. During courtship, males chase females and sing; female responses to male cues serve as critical feedback signals that shape the male’s ongoing behavior (Coen et al. 2014). In addition, we know that internal state

Many species cohesively navigate their environment as a group. This includes fish schools and shoals, where group structure emerges from social interactions, which can subsequently facilitate adaptive advantages such as collective foraging. While previous work has characterized how group structure emerges from social interactions, less is known about how collective behavior is influenced by external factors (e.g., resource availability) and internal physiological states (e.g., hunger), and their underlying behavioral and neural mechanisms. To address how collective behavior is influenced by bo