Understanding the brain requires understanding behavior. New machine vision and learning techniques are poised to revolutionize our ability to analyze behaviors exhibited by animals in the laboratory. Here we describe one such method, Motion Sequencing (MoSeq), which combines three-dimensional (3D) imaging with unsupervised machine learning techniques to identify the syllables and grammar that comprise mouse body language. This Q&A situates MoSeq within the array of novel methods currently being developed for behavioral analysis, enumerates its relative strengths and weaknesses, and describes its future trajectory.

中文翻译：

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问答：了解行为的组成。

了解大脑需要了解行为。新的机器视觉和学习技术已准备就绪，将彻底改变我们分析实验室动物表现出的行为的能力。在这里，我们描述了一种这样的方法，即运动排序（MoSeq），该方法将三维（3D）成像与无监督的机器学习技术相结合，以识别包含鼠标肢体语言的音节和语法。此次问答将MoSeq置于当前正在为行为分析开发的一系列新颖方法中，列举了其相对的优势和劣势，并描述了其未来的发展轨迹。