174 papers
Using 3D pose tracking and mixed-effects survival analysis, this study reveals that pigeons' patch-leaving decisions are shaped not only by travel costs and platform elevation but also by the integration of current environmental cues and their cumulative foraging history.
This study introduces a deep learning model trained on a large, diverse dataset that outperforms human raters in automatically assessing Mouse Grimace Scale scores across varied strains and conditions, demonstrating that combining multiple subsets yields the most reliable performance for non-standardized pain assessment.
Using a free-ranging primate case study, this paper demonstrates that modern deep-learning architectures significantly outperform classical models in detecting rare animal behaviors, while revealing that preprocessing choices and global performance metrics alone are insufficient for reliable ecological inference, necessitating behavior-aware evaluation frameworks.
This study characterizes the high-amplitude type 0 phase-response curve of the orb weaver *Metazygia wittfeldae* and identifies candidate light-responsive genes with dynamic expression patterns that align with the observed circadian phase shifts.
This study demonstrates that humans dynamically and adaptively integrate social information in real-time perceptual decision-making by selectively relying on partners' choices and confidence based on stimulus reliability and partner quality, utilizing multivariate transfer entropy to quantify these continuous information flows.
This paper proposes a mechanistic, modular POMDP-based agent architecture to model how adverse social experiences reshape decision-making in mice, successfully reconstructing behavioral phenotypes, explaining intervention effects, and offering a framework for understanding trauma-related disorders.
This study of wild Guinea baboons suggests that post-mortem infant care and occasional cannibalism are driven by evolutionary adaptations to avoid abandoning temporarily unresponsive offspring and the corpse's physical deterioration, rather than by a conceptual understanding of death.
Using wireless virtual reality to study human escape behavior, this research reveals that humans employ a distinct set of stereotyped kinematic patterns shaped by threat and context, which cannot be extrapolated from other mammals and offer new insights into the neural mechanisms of survival.
This study reveals that the avian dawn chorus is driven by a "rebound singing" mechanism, where pre-dawn darkness suppresses vocalization and heightens intrinsic motivation, leading to an intense post-dawn singing surge that serves as intensive vocal exercise to optimize song performance.
Using a validated mouse model of gestational restraint stress, this study demonstrates that prenatal stress induces broad neurobehavioral disruptions in adult offspring while conferring distinct sex-specific vulnerabilities, with males exhibiting reduced social interaction and females showing greater impairments in fear extinction and a stronger preference for ethanol.
Through five experiments with rats, this study demonstrates that reward probability influences perceptual decision bias more strongly than stimulus presentation probability due to higher learning rates, revealing that current decision-making models fail to capture these differential effects and suggesting that subjects explicitly represent prior probabilities or stimulus distributions.
Using the below-ground ant *Tetramorium alpestre*, this study demonstrates that while dark conditions accelerate decision-making and artificial pheromones attract ants more strongly than natural ones, neither pheromones nor trail conditions influence decision accuracy or aggression, suggesting that behavioral test designs must align with species-specific lifestyles and that speed-accuracy trade-offs are highly context-dependent.
This study develops and validates a machine-learning-guided video analysis framework that quantifies sound-evoked pain in mice by detecting specific facial grimaces and body posture changes, thereby providing an objective tool to investigate the mechanisms of auditory pain.
The manuscript titled "Recognition without aggression: divergent regulation of food sharing in Argentine ant supercolonies" has been withdrawn by the authors due to model misspecifications, and they request that it not be cited.