Scientists who study neuropsychiatric conditions and treatments often use rodent models to do so. From depression to anxiety to memory impairment and impulsivity, there are certain rodent behaviors that are used to represent these types of conditions in humans. And to use these models, researchers have had to watch the animals live or on video and jot down every instance of, say, exploratory behavior. As the process is labor intensive and results vary slightly from researcher to researcher, Dr. Bohacheck and his colleagues created a new system based on machine learning, and they published the results of their study in the journal Neuropsychopharmacology, along with a review of the field.    See acast.com/privacy for privacy and opt-out information.