Topic: Keypoint-Moseq

Social pain, the emotional pain caused by aversive experiences with one’s social group, can have deleterious effects on both mental and physical health1–3. Multiple theories have proposed that the experience of social pain can modulate physical pain5,6, but a neural mechanism has never been discovered. To address this gap, we have designed a novel paradigm, termed the FOMO (Fear of Missing Out) Task, to systematically investigate the effects of Social Exclusion. During Social Exclusion (SE), mice have all been trained to associate a cue with reward delivery, and the subject is then separated f

Investigation of social behavior in mice is increasingly relevant to understand associated brain circuits and thereby develop treatments for psychiatric symptoms such as social withdrawal. Importantly, a data-driven description of social behavior and how the behavioral repertoire of mice differs in solitary vs. social context is lacking. Here, we aim to identify, in a data-driven manner, recurring behavioral patterns (“syllables”) that are unique to social and solitary contexts.We recorded videos of male C57BL/6j mice, in two epochs of 90 minutes duration, either in a social context (n=4) or i

Quantifying behavior is crucial for many applications in neuroscience. Videography provides easy methods for the observation and recording of animal behavior in diverse settings, yet extracting particular aspects of a behavior for further analysis can be highly time consuming. DeepLabCut was the first tool to innovate in this space, and since the initial publication (Mathis et al. Nature Neuroscience 2018) has been downloaded more than half a million times. While the code-base was actively developed, after 6 years it is time for a major release. Here we present DeepLabCut 3.0, which builds on