Development of a mouse trajectory prediction model using machine learning

-Comparison of saline-treated mice and anxiolytic-treated mice using a predictive model-

Abstract

In neuroscience research using mice, brain activity is observed using techniques such as calcium imaging and linked to mouse behavior. However, because brain activity can only be inferred from the actual observed behavior, if there is a behavior that did not manifest itself, it is impossible to know why. Therefore, if a behavior prediction model is used to predict mouse behavior, and if there is a brain region that is activated only when the prediction is off, it provides strong evidence that there was behavior that was not manifested. In this study, as a preliminary step of the behavior prediction model, a trajectory prediction model was created to predict the walking trajectory of mice. The prediction model was then compared between drug-naïve mice and mice treated with an anxiolytic drug (diazepam), and significant differences were confirmed. This indicates that diazepam administration alters the gait trajectory of mice.