PyRAT: An Open-Source Python']Python Library for Animal Behavior Analysis

被引:2
|
作者
De Almeida, Tulio Fernandes [1 ]
Spinelli, Bruno Guedes [1 ]
Lima, Ramon Hypolito [1 ]
Gonzalez, Maria Carolina [1 ]
Rodrigues, Abner Cardoso [1 ]
机构
[1] Edmond & Lily Safra Int Inst Neurosci, Santos Dumont Inst, Post Grad Program Neuroengn, Macaiba, Brazil
关键词
deep learning; unsupervised learning; behavioral analysis; animal tracking; electrophysiology; neuroscience method;
D O I
10.3389/fnins.2022.779106
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Here we developed an open-source Python-based library called Python rodent Analysis and Tracking (PyRAT). Our library analyzes tracking data to classify distinct behaviors, estimate traveled distance, speed and area occupancy. To classify and cluster behaviors, we used two unsupervised algorithms: hierarchical agglomerative clustering and t-distributed stochastic neighbor embedding (t-SNE). Finally, we built algorithms that associate the detected behaviors with synchronized neural data and facilitate the visualization of this association in the pixel space. PyRAT is fully available on GitHub: https://github.com/pyratlib/pyrat.
引用
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页数:9
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