Over the past years, numerous methods have emerged to automate the quantification of
animal behavior at a resolution not previously imaginable. This has opened up a new field of …

Best practices in preclinical algesiometry (pain behaviour testing) have shifted over the past
decade as a result of technological advancements, the continued dearth of translational …

Keypoint tracking algorithms can flexibly quantify animal movement from videos obtained in
a wide variety of settings. However, it remains unclear how to parse continuous keypoint …

Animal behavior is shaped by a variety of" internal states"—partially hidden variables that
profoundly shape perception, cognition, and action. The neural basis of internal states, such …

Understanding animals' behaviors is significant for a wide range of applications. However,
existing animal behavior datasets have limitations in multiple aspects, including limited …

What are the spatial and temporal scales of brainwide neuronal activity? We used swept,
confocally-aligned planar excitation (SCAPE) microscopy to image all cells in a large …

The use of rigorous ethological observation via machine learning techniques to understand
brain function (computational neuroethology) is a rapidly growing approach that is poised to …

The process of quantifying and analyzing animal behavior involves translating the naturally
occurring descriptive language of their actions into machine-readable code. Yet, codifying …

Our natural behavioral repertoires include coordinated actions of characteristic types. To
better understand how neural activity relates to the expression of actions and action …

Quantification and detection of the hierarchical organization of behavior is a major challenge
in neuroscience. Recent advances in markerless pose estimation enable the visualization of …