Causal Relationships Underlying the Collective Dynamic Behavior of Swarms

群体集体动态行为背后的因果关系

• 批准号: 1433670
• 负责人: Maurizio Porfiri
• 金额: $ 35万
• 依托单位: New York University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2019-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1433670&HistoricalAwards=false
• 关键词: Causal; Relationships; Underlying; Collective; Dynamic

Living in groups affords several benefits for animals such as better feeding opportunities and reduced predation risks. In both instances-foraging and predator avoidance-critical information is transmitted nonverbally throughout the group, at different time scales. While current methods in animal behavior allow for inferring information sharing during coordinated maneuvers, these interactions are only a small subset of the complex behavioral repertoire of animal groups. This award supports fundamental research to investigate directional information flow underlying collective animal behavior, through the integration of dynamical systems theory and behavioral studies on the zebra fish animal model. The implications of this research are potentially transformative in the area of behavioral brain research and neuropsychobiology, where zebra fish is rapidly emerging as a valid preclinical animal model. Complementing the research are interdisciplinary education and outreach activities that will foster outside-the-box and multidisciplinary thinking in underrepresented students in engineering, and benefit the education of underprivileged students in Brooklyn public schools.This research program seeks to demonstrate that an information-theoretic approach can be used to measure social animal behavior. Specifically, this award will establish a rigorous model-free framework to study causal relationships in animal interactions. A series of hypothesis-driven experiments on zebra fish will be conducted to emphasize unidirectional information transfer by controlling visual feedback between conspecifics and using independently controlled robotic replicas. Subsequently, the proposed model-free framework and established experimental paradigms will be used to investigate information flow in shoaling and schooling zebra fish along with the social implications of individual differences on their collective behavior. Toward this aim, robotics-based platforms, multi-target tracking software, and novel experimental protocols will be utilized for engineering and dissecting causal relationships that are central to the validation of the envisioned approach. The unique datasets from these laboratory experiments will support the validation of a multitude of theoretical dynamical-systems approaches toward unraveling causality in complex biological and technological systems.

居住在小组中为动物带来了一些好处，例如更好的喂养机会和降低捕食风险。在各个实例中，在不同的时间范围内，范围和避免避免避免捕食者的避免信息均在整个组中都非传播。尽管动物行为的当前方法允许在协调过程中推断信息共享，但这些相互作用只是动物群体复杂行为库的一小部分。该奖项支持基本研究，以通过在斑马鱼动物模型上的动力学系统理论和行为研究的整合来研究集体动物行为基础的定向信息流。这项研究的含义在行为脑研究和神经心理生物学领域具有潜在的变化，在该领域中，斑马鱼迅速成为有效的临床前动物模型。这项研究的补充是跨学科的教育和外展活动，这些活动将在工程领域的代表性不足的学生中促进开箱即用和多学科思维，并使布鲁克林公立学校的贫困学生的教育受益。这项研究计划旨在证明一种信息理论方法可以用于衡量社会动物行为。具体而言，该奖项将建立一个严格的无模型框架来研究动物相互作用中的因果关系。将进行一系列关于斑马鱼的假设驱动的实验，以强调单向信息传递，通过控制同种特定之间的视觉反馈并使用独立控制的机器人复制品。随后，提出的无模型框架和既定的实验范例将用于研究浅滩和教育斑马鱼中的信息流，以及个体差异对他们的集体行为的社会含义。为了实现这一目标，将利用基于机器人技术的平台，多目标跟踪软件和新颖的实验协议来工程和解剖因果关系，这些因果关系对于验证所设想的方法的核心至关重要。这些实验室实验的独特数据集将支持验证多种理论动力系统的方法，以揭示复杂的生物学和技术系统中的因果关系。

项目成果

An information-theoretic approach to study hydrodynamic interactions in schooling fish

研究鱼群水动力相互作用的信息论方法

• DOI: 10.1117/12.2514287
• 发表时间: 2019
• 期刊: 2020
• 作者: Zhang, Peng;Krasner, Elizabeth;Peterson, Sean;Porfiri, Maurizio
• 通讯作者: Porfiri, Maurizio

Behavioural and life-history responses of mosquitofish to biologically inspired and interactive robotic predators

• DOI: 10.1098/rsif.2019.0359
• 发表时间: 2019-09-01
• 期刊: JOURNAL OF THE ROYAL SOCIETY INTERFACE
• 影响因子: 3.9
• 作者: Polverino, Giovanni;Karakaya, Mert;Porfiri, Maurizio
• 通讯作者: Porfiri, Maurizio

Application of symbolic recurrence to experimental data, from firearm prevalence to fish swimming

• DOI: 10.1063/1.5119883
• 发表时间: 2019-11-01
• 期刊: CHAOS
• 影响因子: 2.9
• 作者: Boldini, Alain;Karakaya, Mert;Porfiri, Maurizio
• 通讯作者: Porfiri, Maurizio

An inconspicuous, integrated electronic travel aid for visual impairment

• DOI: 10.1115/1.4050186
• 发表时间: 2021-01-01
• 期刊: ASME Lett. Dyn. Syst. Control
• 作者: Boldini, A.;Garcia, A.L.;Rizzo, J.R.
• 通讯作者: Rizzo, J.R.

Can robotic fish help zebrafish learn to open doors?

机器鱼能帮助斑马鱼学会开门吗？

• DOI: 10.1117/12.2514289
• 发表时间: 2019
• 作者: Yang, Yanpeng;LeMay, Brandon;El Khoury, Rana;Clément, Romain J.;Ghirlanda, Stefano;Porfiri, Maurizio
• 通讯作者: Porfiri, Maurizio