DeepLabCut and SLEAP- Evolution of Animal Pose Estimation and What Should Come Next скачать в хорошем качестве

DeepLabCut and SLEAP- Evolution of Animal Pose Estimation and What Should Come Next

Comparision of DeepLabCut and SLEAP philosophies, their evolution, and how these tools can directly integrate Behavior Identification. This podcast covers it all! Source Materials: 1. Mathis et al. (2018): Mathis, A., Mamidanna, P., Cury, K. M., Abe, T., Murthy, V. N., Mathis, M. W., & Bethge, M. (2018). DeepLabCut: markerless pose estimation of user-defined body parts with deep learning. Nature Neuroscience, 21(9), 1281–1289. https://doi.org/10.1038/s41593-018-02... 2. Lauer et al. (2022): Lauer, J., Zhou, M., Ye, S., Menegas, W., Schneider, S., Nath, T., Rahman, M. M., Di Santo, V., Soberanes, D., Feng, G., Murthy, V. N., Lauder, G., Dulac, C., Mathis, M. W., & 3. Mathis, A. (2022). Multi-animal pose estimation, identification and tracking with DeepLabCut. Nature Methods, 19(4), 496–504. https://doi.org/10.1038/s41592-022-01... 4. Nath et al. (2019): Nath, T., Mathis, A., Chen, A. C., Patel, A., Bethge, M., & Mathis, M. W. (2019). Using DeepLabCut for 3D markerless pose estimation across species and behaviors. Nature Protocols, 14(7), 2152–2176. https://doi.org/10.1038/s41596-019-01... 5. Pereira et al. (2019): Pereira, T. D., Aldarondo, D. E., Willmore, L., Kislin, M., Wang, S. S.-H., Murthy, M., & Shaevitz, J. W. (2019). Fast animal pose estimation using deep neural networks. Nature Methods, 16(1), 117–125. https://doi.org/10.1038/s41592-018-02... 6. Pereira et al. (2020): Pereira, T. D., Shaevitz, J. W., & Murthy, M. (2020). Quantifying behavior to understand the brain. Nature Neuroscience, 23(12), 1537–1549.