ロボティクス・メカトロニクス講演会講演概要集
Online ISSN : 2424-3124
セッションID: 1P1-E17
会議情報

機械学習を用いたマウスの経路予測モデルの開発
-予測モデルを用いたコントロールマウスと抗不安剤投与マウスの比較-
*及川 陽喜鶴田 祥人山本 征孝佐野 良威古市 貞一竹村 裕
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会議録・要旨集 認証あり

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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.

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