Deep learning tools for the measurement of animal behavior in neuroscience
September 30, 2019 Β· Declared Dead Β· π Current Opinion in Neurobiology
"No code URL or promise found in abstract"
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Authors
Mackenzie W. Mathis, Alexander Mathis
arXiv ID
1909.13868
Category
cs.CV: Computer Vision
Cross-listed
q-bio.NC,
q-bio.QM
Citations
364
Venue
Current Opinion in Neurobiology
Last Checked
3 months ago
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.
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