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Updated: Jun 14, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
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集群计算机鼠标跟踪数据,以知情的等级收缩分区先验为基础

Ziyi Song1, Weining Shen2, Marina Vannucci3

  • 1Department of Statistics, Donald Bren School of Information and Computer Sciences, University of California, Irvine, CA 92697, United States.

Biometrics
|October 30, 2024
PubMed
概括

这项研究引入了一种分析老鼠跟踪数据的新方法,以了解认知过程. 层次缩小分区 (HSP) 模型有效地聚合了个人的决策行为,并确定了不同的神经行为子组.

关键词:
贝叶斯的非参数.迪里克莱特过程是指迪里克莱特过程.聚类集群是指聚类的聚类.不可以交换的随机分区.

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相关概念视频

Cluster Sampling Method01:20

Cluster Sampling Method

Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...