Automatic classification of behavior in zebrafish larva. Jouary, A. & Sumbre, G. bioRxiv, May, 2016. ![Automatic classification of behavior in zebrafish larva [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper abstract bibtex Zebrafish larvae navigate the environment by discrete episode of propulsion called bouts. We introduce a novel method for automatically classifying zebrafish tail movements. We used 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 trajectories and can be applied in both head-fixed and free-swimming conditions.
@article{jouary_automatic_2016,
title = {Automatic classification of behavior in zebrafish larva},
copyright = {Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC-BY-NC-SA)},
url = {http://biorxiv.org/content/early/2016/05/10/052324},
abstract = {Zebrafish larvae navigate the environment by discrete episode of propulsion called bouts. We introduce a novel method for automatically classifying zebrafish tail movements. We used 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 trajectories and can be applied in both head-fixed and free-swimming conditions.},
journal = {bioRxiv},
author = {Jouary, Adrien and Sumbre, German},
month = may,
year = {2016},
}
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