Abstract
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.
| Original language | English |
|---|---|
| Article number | 00759 |
| Journal | eLife |
| Volume | 2013 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 3 Sept 2013 |
Funding
Templeton Positive Neuroscience award; European Research Council [260463]; Israel Science Foundation; Legacy Heritage Biomedical Science Partnership; Human Frontier Science Program Templeton Positive Neuroscience award Alon Chen, Elad Schneidman European Research Council FP7 grant, #260463 Alon Chen Israel Science Foundation Alon Chen Roberto and Renata Ruhman Alon Chen Legacy Heritage Biomedical Science Partnership Alon Chen Human Frontier Science Program Elad Schneidman. Author contributions - YS, YS, OF, TS, AC, ES, Conception and design, Acquisition of data, Analysis and interpretation of data, Drafting or revising the article
All Science Journal Classification (ASJC) codes
- General Neuroscience
- General Immunology and Microbiology
- General Biochemistry,Genetics and Molecular Biology