The assessment of rodent behavior forms a cornerstone of preclinical assessment in
neuroscience research. Nonetheless, the true and almost limitless potential of behavioral …

The reproducibility crisis (or replication crisis) in biomedical research is a particularly
existential and under-addressed issue in the field of behavioral neuroscience, where, in …

To study brain function, preclinical research heavily relies on animal monitoring and the
subsequent analyses of behavior. Commercial platforms have enabled semi high …

Behavioral neuroscience research incorporates the identical high level of meticulous
methodologies and exacting attention to detail as all other scientific disciplines. To achieve …

Fast and accurately characterizing animal behaviors is crucial for neuroscience research.
Deep learning models are efficiently used in laboratories for behavior analysis. However, it …

In the pig industry, the social behaviors of preweaning piglets are critical indicators of their
liveability, growth, health, and welfare status. In this study, we developed a novel method …

Violence recognition is crucial because of its applications in activities related to security and
law enforcement. Existing semi-automated systems have issues such as tedious manual …

Advances in visual perceptual tasks have been mainly driven by the amount, and types, of
annotations of large-scale datasets. Researchers have focused on fully-supervised settings …

Classifying the behavior of humans or animals from videos is important in biomedical fields
for understanding brain function and response to stimuli. Action recognition, classifying …

The identification of animal behavior in video is a critical but time-consuming task in many
areas of research. Here, we introduce DeepAction, a deep learning-based toolbox for …