174 papers
This study introduces a robust, automated machine learning paradigm that integrates multiple behavioral metrics to overcome the limitations of traditional single-metric light/dark box tests, thereby significantly improving the reliability and accuracy of visual function assessment in mice.
Early-life exposure to a high-fat diet accelerates the maturation of vagal afferent neurons and induces lasting changes in nutrient-specific appetitive behaviors, leading to increased lipid consumption in adulthood.
This study demonstrates that daytime light intensity is a critical contextual factor that shapes sex-specific sleep and circadian responses to nighttime light, with brighter illumination buffering against the sleep disruptions and circadian vulnerabilities observed in females under dim daytime conditions.
This study introduces "unconstrained dosing agar" (UDA), a voluntary ingestion method using scented soft agar that effectively reduces stress and eliminates the need for fasting or restraint in mice, offering a practical and welfare-friendly alternative to traditional oral gavage.
This paper presents a deployment-focused framework utilizing Long Short-Term Memory (LSTM) networks to automate the recognition of wild bird nest behaviors from video data, demonstrating superior speed and accuracy compared to human annotators and static models like YOLO across multiple species.
This paper presents and validates a machine learning pipeline combining DeepLabCut and SimBA to accurately automate the analysis of mouse olfactory habituation-dishabituation tasks, achieving results comparable to manual annotation while improving research throughput.
This study establishes that non-human primates exhibit a four-factor cognitive architecture of executive functions—comprising distinct inhibitory control, shifting, updating, and working memory domains—which gives rise to separable cognitive phenotypes characterized by unique inter-individual strengths and weaknesses.
This one-year study evaluating the introduction of artificial plants in a zebrafish facility found that while the enrichment was cost-effective and harmless, it yielded no significant improvements in fertility, sex ratio, or pathogen burden, and only a non-significant increase in survival, likely because baseline survival rates were already high.
This study demonstrates that while Candesartan monotherapy effectively restores sensorimotor function in rats with chronic cerebral ischemia, combining it with pomegranate provides superior protection against cognitive impairments, highlighting distinct mechanisms for motor and memory recovery.
This study demonstrates that continuously tracking the locomotion of freely moving domestic dogs reveals distinct spatial behavioral patterns, such as increased proximity to food dispensers and extended trajectories, which are specifically modulated by the presence or absence of appetitive Pavlovian tone-food contingencies.
This multi-center, multimodel study demonstrates that while cerebral ischemia consistently triggers a transient increase in hippocampal neurogenesis across diverse stroke paradigms in mice, the resulting newborn neurons invariably exhibit maladaptive morphological features that likely contribute to chronic post-stroke cognitive decline.
This paper outlines the demographic history and husbandry techniques of the University of California, Davis prairie vole breeding colony from 2004 to 2020, emphasizing how transparent management and strategic breeding are essential for preserving behavioral traits and enhancing the reliability of this model in social and biomedical research.
This preregistered fMRI study challenges the traditional view of a strict spatial division between social perception and mentalizing brain regions by demonstrating that both posterior STS and TPJ integrate bottom-up relational processing and top-down generative inverse-planning computations, likely operating on distinct temporal scales.
This paper challenges the traditional dichotomous framework of rat ultrasonic vocalizations by reviewing literature that identifies diverse call types beyond the standard 50-kHz and 22-kHz categories, suggesting a need to study a broader range of vocalizations to better understand complex affective states.
This study demonstrates that the nocturnal fall armyworm relies on the critical integration of visual and geomagnetic cues for accurate seasonal migratory orientation, as visual inputs are indispensable for maintaining flight stability and processing magnetic direction.
This study utilizes a spatial agent-based model to demonstrate that intergroup tolerance in mixed-sex groups emerges synergistically from the combined effects of resource heterogeneity, which increases encounter frequency, and social threats from bachelor males, which drive protective aggregation, without requiring preprogrammed cooperation.
The paper introduces the Training Village, an open-source, automated, and affordable home-cage system that enables continuous, personalized cognitive training and monitoring of rodents to overcome the labor and expertise barriers of traditional behavioral research.
This study demonstrates that rats can perform goal-directed actions based on specific nutrient appetites, as their lever-pressing choices for protein or carbohydrate rewards flexibly adapt to their current state of nutritional satiety rather than relying on rigid stimulus-bound habits.
This study identifies that the neuropeptides short neuropeptide F (sNPF) and RYamide act together to promote blood feeding in mated *Anopheles stephensi* mosquitoes, with sNPF levels specifically increasing in the brain and gut during the blood-hungry state to drive this essential reproductive behavior.
This study demonstrates that deep learning-derived mel spectrograms, when combined with traditional machine learning classifiers like random forests and support vector machines, effectively enable individual identification and age-class classification of wild female Japanese macaque vocalizations even with small-scale datasets.