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DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila
Studying how neural circuits orchestrate limbed behaviors requires the precise measurement of the positions of each appendage in three-dimensional (3D) space. Deep neural networks can estimate two-dimensional (2D) pose in freely behaving and tethered animals. However, the unique challenges associate...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
eLife Sciences Publications, Ltd
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6828327/ https://www.ncbi.nlm.nih.gov/pubmed/31584428 http://dx.doi.org/10.7554/eLife.48571 |