DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila

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...

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Bibliographic Details
Main Authors: Semih Günel, Helge Rhodin, Daniel Morales, João Campagnolo, Pavan Ramdya, Pascal Fua
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2019-10-01
Series:eLife
Subjects:
3D pose estimation
animal behavior
deep learning
computer vision
unsupervised classification
Online Access:https://elifesciences.org/articles/48571

Internet

https://elifesciences.org/articles/48571

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