Deep learning tools for the measurement of animal behavior in neuroscience
Abstract
Recent advances in computer vision have made accurate, fast and robust measurement of animal behavior a reality. In the past years powerful tools specifically designed to aid the measurement of behavior have come to fruition. Here we discuss how capturing the postures of animals - pose estimation - has been rapidly advancing with new deep learning methods. While challenges still remain, we envision that the fast-paced development of new deep learning tools will rapidly change the landscape of realizable real-world neuroscience.
- Publication:
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arXiv e-prints
- Pub Date:
- September 2019
- DOI:
- 10.48550/arXiv.1909.13868
- arXiv:
- arXiv:1909.13868
- Bibcode:
- 2019arXiv190913868M
- Keywords:
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- Computer Science - Computer Vision and Pattern Recognition;
- Quantitative Biology - Neurons and Cognition;
- Quantitative Biology - Quantitative Methods
- E-Print:
- 11 pages, 3 figures, review