Department of Neurobiology, Weizmann Institute of Science, Rehovot 76100, Israel.
Institute of Science and Technology Austria, A-3400 Klosterneuburg, Austria.
Proc Natl Acad Sci U S A. 2017 Sep 19;114(38):10149-10154. doi: 10.1073/pnas.1703817114. Epub 2017 Sep 5.
Individual computations and social interactions underlying collective behavior in groups of animals are of great ethological, behavioral, and theoretical interest. While complex individual behaviors have successfully been parsed into small dictionaries of stereotyped behavioral modes, studies of collective behavior largely ignored these findings; instead, their focus was on inferring single, mode-independent social interaction rules that reproduced macroscopic and often qualitative features of group behavior. Here, we bring these two approaches together to predict individual swimming patterns of adult zebrafish in a group. We show that fish alternate between an "active" mode, in which they are sensitive to the swimming patterns of conspecifics, and a "passive" mode, where they ignore them. Using a model that accounts for these two modes explicitly, we predict behaviors of individual fish with high accuracy, outperforming previous approaches that assumed a single continuous computation by individuals and simple metric or topological weighing of neighbors' behavior. At the group level, switching between active and passive modes is uncorrelated among fish, but correlated directional swimming behavior still emerges. Our quantitative approach for studying complex, multimodal individual behavior jointly with emergent group behavior is readily extensible to additional behavioral modes and their neural correlates as well as to other species.
个体计算和群体动物集体行为中的社会相互作用具有重要的行为学、行为学和理论意义。虽然复杂的个体行为已经成功地被解析为刻板行为模式的小字典，但对集体行为的研究在很大程度上忽略了这些发现；相反，它们的重点是推断出单一的、不依赖模式的社会相互作用规则，这些规则再现了群体行为的宏观和通常是定性的特征。在这里，我们将这两种方法结合起来，预测群体中成年斑马鱼的个体游动模式。我们表明，鱼在“主动”模式和“被动”模式之间交替，在主动模式中，它们对同类的游动模式敏感，而在被动模式中，它们忽略了这些模式。使用一个明确考虑这两种模式的模型，我们可以非常准确地预测个体鱼的行为，这优于以前的方法，以前的方法假设个体的单一连续计算和对邻居行为的简单度量或拓扑加权。在群体层面，鱼之间主动和被动模式之间的切换是不相关的，但仍然出现了相关的定向游动行为。我们用于研究复杂的、多模式个体行为以及新兴的群体行为的定量方法很容易扩展到其他行为模式及其神经相关性以及其他物种。
