University of Washington, School of Aquatic and Fishery Sciences, Box 358218, Seattle, WA 98195-8218, USA.
J Theor Biol. 2009 Dec 21;261(4):501-10. doi: 10.1016/j.jtbi.2009.08.013. Epub 2009 Aug 20.
We explore mechanisms associated with collective animal motion by drawing on the neurobiological bases of sensory information processing and decision-making. The model uses simplified retinal processes to translate neighbor movement patterns into information through spatial signal integration and threshold responses. The structure provides a mechanism by which individuals can vary their sets of influential neighbors, a measure of an individual's sensory load. Sensory loads are correlated with group order and density, and we discuss their adaptive values in an ecological context. The model also provides a mechanism by which group members can identify, and rapidly respond to, novel visual stimuli.
我们通过借鉴感觉信息处理和决策的神经生物学基础来探索与集体动物运动相关的机制。该模型使用简化的视网膜过程，通过空间信号整合和阈值反应将邻居的运动模式转化为信息。该结构提供了一种机制，使个体可以改变其有影响力的邻居集，这是个体感觉负荷的一个度量。感觉负荷与群体顺序和密度相关，我们在生态背景下讨论了它们的适应价值。该模型还提供了一种机制，使群体成员能够识别和快速响应新颖的视觉刺激。
