Ontology highlight
ABSTRACT:
SUBMITTER: Han S
PROVIDER: S-EPMC5922975 | biostudies-literature | 2018 Mar
REPOSITORIES: biostudies-literature
Han Shuting S Taralova Ekaterina E Dupre Christophe C Yuste Rafael R
eLife 20180328
Animal behavior has been studied for centuries, but few efficient methods are available to automatically identify and classify it. Quantitative behavioral studies have been hindered by the subjective and imprecise nature of human observation, and the slow speed of annotating behavioral data. Here, we developed an automatic behavior analysis pipeline for the cnidarian <i>Hydra vulgaris</i> using machine learning. We imaged freely behaving <i>Hydra</i>, extracted motion and shape features from the ...[more]