成对比较
群(周期表)
订单(交换)
集体行为
社会团体
群居动物
计算机科学
生物
人工智能
心理学
社会心理学
生态学
物理
社会学
经济
量子力学
人类学
财务
作者
Yair Shemesh,Yehezkel Sztainberg,Oren Forkosh,Tamar Shlapobersky,Alon Chen,Elad Schneidman
出处
期刊:eLife
[eLife Sciences Publications, Ltd.]
日期:2013-09-03
卷期号:2
被引量:135
摘要
Social behavior in mammals is often studied in pairs under artificial conditions, yet groups may rely on more complicated social structures. Here, we use a novel system for tracking multiple animals in a rich environment to characterize the nature of group behavior and interactions, and show strongly correlated group behavior in mice. We have found that the minimal models that rely only on individual traits and pairwise correlations between animals are not enough to capture group behavior, but that models that include third-order interactions give a very accurate description of the group. These models allow us to infer social interaction maps for individual groups. Using this approach, we show that environmental complexity during adolescence affects the collective group behavior of adult mice, in particular altering the role of high-order structure. Our results provide new experimental and mathematical frameworks for studying group behavior and social interactions. DOI:http://dx.doi.org/10.7554/eLife.00759.001.
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