@article{
 title = {Automatic classification of behavior in zebrafish larva},
 type = {article},
 year = {2016},
 pages = {1-14},
 websites = {http://biorxiv.org/content/early/2016/05/10/052324},
 month = {5},
 id = {4427a90b-6883-3395-a816-f90305a2660e},
 created = {2017-01-30T08:33:22.000Z},
 file_attached = {true},
 profile_id = {91806a5d-0b39-358d-8731-94e154a41c8d},
 last_modified = {2019-09-26T14:44:45.738Z},
 read = {true},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Jouary2016},
 private_publication = {false},
 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.},
 bibtype = {article},
 author = {Jouary, Adrien and Sumbre, German},
 doi = {10.1101/052324},
 journal = {bioRxiv}
}

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