Python(编程语言)
计算机科学
嵌入
开源
层次聚类
聚类分析
可视化
人工智能
数据挖掘
模式识别(心理学)
软件
程序设计语言
作者
Tulio Fernandes De Almeida,Bruno Guedes Spinelli,Ramon Hypólito Lima,Maria Carolina Gonzalez,Abner Cardoso Rodrigues
标识
DOI:10.3389/fnins.2022.779106
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 .
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