TY - JOUR T1 - Automatic classification of behavior in zebrafish larvae JF - bioRxiv DO - 10.1101/052324 SP - 052324 AU - Adrien Jouary AU - German Sumbre Y1 - 2016/01/01 UR - http://biorxiv.org/content/early/2016/05/10/052324.abstract N2 - Zebrafish larvae navigate the environment by discrete episode of propulsion called bouts. We introduce a novel method for automatically classifying tail bouts. A supervised soft-clustering algorithm to categorize tail bouts into 5 categories of movements: Scoot, Asymmetrical Scoot, Routine Turn, C Bend and Burst. Tail bouts were correctly classified with 82% chance while errors in the classification occurred mostly between similar categories. Although previous studies have performed categorization of behavior in free-swimming conditions, our method does not rely on the analysis of the larva’s trajectory and is thus compatible with both free-swimming and functional imaging in head-fixed condition. ER -