Collective biological motion: connecting empirical and theoretical approaches

集体生物运动：连接经验和理论方法

• 批准号: 386638-2011
• 负责人: Lukeman, Ryan
• 金额: $ 1.17万
• 依托单位: St. Francis Xavier University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=508644
• 关键词: Collective; biological; motion; connecting; empirical

From cells to humans, aggregates form striking collective patterns, displaying self-organized coordination, cohesion, and collective intelligence. Due to the inherent complexity in these aggregates, deducing the underlying interactions and effects that determine individual movement paths remains a challenge for most groups. However, recent technological advances in image acquisition have led to new datasets that can completely and accurately track each individual member of large collectives (even at the scale of cells), and so we are poised to answer a host of questions concerning how form relates to function of the group, how local and global information is reconciled, what precise interactions govern individual motion, and how the collective is shaped by the ecology in which it exists.

从细胞到人类，聚集体形成了惊人的集体模式，表现出自组织协调、凝聚力和集体智慧。由于这些集合体固有的复杂性，推断决定个人移动路径的潜在相互作用和影响对大多数群体来说仍然是一个挑战。然而，最近在图像采集方面的技术进步已经产生了新的数据集，这些数据集可以完全准确地跟踪大型集体的每个个体成员（即使在细胞的尺度上），因此我们准备回答一系列问题，包括形式如何与群体的功能联系起来，局部和全局信息如何协调，什么样的精确相互作用控制着个体运动，以及集体是如何被它所处的生态所塑造的。