Zebrafish behavior feature recognition using three-dimensional tracking and machine learning

In this work, we aim to construct a new behavior analysis method by using machine learning. We used two cameras to capture three-dimensional (3D) tracking data of zebrafish, which were analyzed using fuzzy adaptive resonance theory (FuzzyART), a type of machine learning algorithm, to identify specif...

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Detalles Bibliográficos
Autores principales: Yang, Peng, Takahashi, Hiro, Murase, Masataka, Itoh, Motoyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8242018/
https://www.ncbi.nlm.nih.gov/pubmed/34188116
http://dx.doi.org/10.1038/s41598-021-92854-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8242018/
https://www.ncbi.nlm.nih.gov/pubmed/34188116
http://dx.doi.org/10.1038/s41598-021-92854-0

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