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A Deep Neural Network Tracks Tool Proficiency Development
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AI
DOI：10.1037/xan0000419.png)
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Abstract
En 中文
DeepLabCut, a deep-learning-based network for markerless pose estimation, has been used to track the acquisition and development of tool use in a nontool-using corvid species. This development has the potential to lead to new lines of research understanding how tool and motor expertise develop at the behavioral, neural, cognitive, and evolutionary level.
Keywords:
DeepLabCut
pose estimation
tool use
corvids
neural network
Journal
J
IF:
0.9
Papers:
31
Citations:
0