• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Motion-guided attention promotes adaptive communications during social navigation.运动引导的注意力促进社交导航中的自适应交流。
Proc Biol Sci. 2013 Jan 16;280(1754):20122003. doi: 10.1098/rspb.2012.2003. Print 2013 Mar 7.
2
Motion cues tune social influence in shoaling fish.运动提示调整鱼类的群体影响。
Sci Rep. 2018 Jun 28;8(1):9785. doi: 10.1038/s41598-018-27807-1.
3
Modelling group navigation: transitive social structures improve navigational performance.模拟群体导航:传递性社会结构可提高导航性能。
J R Soc Interface. 2015 Jul 6;12(108):20150213. doi: 10.1098/rsif.2015.0213.
4
The future of Cochrane Neonatal.考克兰新生儿协作网的未来。
Early Hum Dev. 2020 Nov;150:105191. doi: 10.1016/j.earlhumdev.2020.105191. Epub 2020 Sep 12.
5
Human Crowds as Social Networks: Collective Dynamics of Consensus and Polarization.人类群体作为社交网络:共识与极化的集体动态。
Perspect Psychol Sci. 2024 Mar;19(2):522-537. doi: 10.1177/17456916231186406. Epub 2023 Aug 1.
6
Modelling collective navigation via non-local communication.通过非局部通信进行群体导航建模。
J R Soc Interface. 2021 Sep;18(182):20210383. doi: 10.1098/rsif.2021.0383. Epub 2021 Sep 29.
7
Information transfer in moving animal groups.移动动物群体中的信息传递。
Theory Biosci. 2008 Jun;127(2):177-86. doi: 10.1007/s12064-008-0040-1. Epub 2008 May 6.
8
Collective motion in animal groups from a neurobiological perspective: the adaptive benefits of dynamic sensory loads and selective attention.从神经生物学角度看动物群体的集体运动:动态感官负荷和选择性注意的适应性益处。
J Theor Biol. 2009 Dec 21;261(4):501-10. doi: 10.1016/j.jtbi.2009.08.013. Epub 2009 Aug 20.
9
Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions.将视觉心理物理学测定整合到Y迷宫中,以分离视觉特征在导航决策中所起的作用。
J Vis Exp. 2019 May 2(147). doi: 10.3791/59281.
10
Individual and ecological heterogeneity promote complex communication in social vertebrate group decisions.个体和生态的异质性促进了社会脊椎动物群体决策中复杂的沟通。
Philos Trans R Soc Lond B Biol Sci. 2024 Jul 8;379(1905):20230204. doi: 10.1098/rstb.2023.0204. Epub 2024 May 20.

引用本文的文献

1
Selective decision-making and collective behavior of fish by the motion of visual attention.通过视觉注意力的运动实现鱼类的选择性决策和集体行为。
PNAS Nexus. 2024 Jul 2;3(7):pgae264. doi: 10.1093/pnasnexus/pgae264. eCollection 2024 Jul.
2
Perception of motion salience shapes the emergence of collective motions.运动显著性的感知塑造了集体运动的出现。
Nat Commun. 2024 Jun 5;15(1):4779. doi: 10.1038/s41467-024-49151-x.
3
Selective social interactions and speed-induced leadership in schooling fish.群居鱼类中的选择性社会互动与速度诱导的领导力
Proc Natl Acad Sci U S A. 2024 Apr 30;121(18):e2309733121. doi: 10.1073/pnas.2309733121. Epub 2024 Apr 25.
4
Vision-based collective motion: A locust-inspired reductionist model.基于视觉的集体运动:一种蝗虫启发的简化模型。
PLoS Comput Biol. 2024 Jan 29;20(1):e1011796. doi: 10.1371/journal.pcbi.1011796. eCollection 2024 Jan.
5
Collective evolution learning model for vision-based collective motion with collision avoidance.基于视觉的避碰集体运动的集体进化学习模型。
PLoS One. 2023 May 10;18(5):e0270318. doi: 10.1371/journal.pone.0270318. eCollection 2023.
6
A study of transfer of information in animal collectives using deep learning tools.使用深度学习工具研究动物群体中的信息传递。
Philos Trans R Soc Lond B Biol Sci. 2023 Apr 10;378(1874):20220073. doi: 10.1098/rstb.2022.0073. Epub 2023 Feb 20.
7
Selective interaction and its effect on collective motion.选择性相互作用及其对集体运动的影响。
Sci Rep. 2022 May 21;12(1):8601. doi: 10.1038/s41598-022-12525-6.
8
Randomness in the choice of neighbours promotes cohesion in mobile animal groups.在选择邻居时的随机性促进了移动动物群体的凝聚力。
R Soc Open Sci. 2022 Mar 23;9(3):220124. doi: 10.1098/rsos.220124. eCollection 2022 Mar.
9
The impact of individual perceptual and cognitive factors on collective states in a data-driven fish school model.个体感知和认知因素对数据驱动的鱼群模型中集体状态的影响。
PLoS Comput Biol. 2022 Mar 2;18(3):e1009437. doi: 10.1371/journal.pcbi.1009437. eCollection 2022 Mar.
10
Computational and robotic modeling reveal parsimonious combinations of interactions between individuals in schooling fish.计算和机器人建模揭示了群体洄游鱼类个体间相互作用的简约组合。
PLoS Comput Biol. 2020 Mar 16;16(3):e1007194. doi: 10.1371/journal.pcbi.1007194. eCollection 2020 Mar.

本文引用的文献

1
Inferring the rules of interaction of shoaling fish.推断鱼类集群行为的交互规则。
Proc Natl Acad Sci U S A. 2011 Nov 15;108(46):18726-31. doi: 10.1073/pnas.1109355108. Epub 2011 Nov 7.
2
Inferring the structure and dynamics of interactions in schooling fish.推断成群游动鱼类的相互作用的结构和动态。
Proc Natl Acad Sci U S A. 2011 Nov 15;108(46):18720-5. doi: 10.1073/pnas.1107583108. Epub 2011 Jul 27.
3
How simple rules determine pedestrian behavior and crowd disasters.简单规则如何决定行人行为和人群灾难。
Proc Natl Acad Sci U S A. 2011 Apr 26;108(17):6884-8. doi: 10.1073/pnas.1016507108. Epub 2011 Apr 18.
4
Fast and accurate decisions through collective vigilance in fish shoals.通过鱼群的集体警戒实现快速而准确的决策。
Proc Natl Acad Sci U S A. 2011 Feb 8;108(6):2312-5. doi: 10.1073/pnas.1007102108. Epub 2011 Jan 24.
5
Limited interactions in flocks: relating model simulations to empirical data.群体中的有限交互:将模型模拟与经验数据相关联。
J R Soc Interface. 2011 Feb 6;8(55):301-4. doi: 10.1098/rsif.2010.0397. Epub 2010 Sep 8.
6
How perceived threat increases synchronization in collectively moving animal groups.感知威胁如何增加集体运动动物群体的同步性。
Proc Biol Sci. 2010 Oct 22;277(1697):3065-70. doi: 10.1098/rspb.2010.0855. Epub 2010 May 26.
7
Hierarchical group dynamics in pigeon flocks.鸽群中的层级群体动力学。
Nature. 2010 Apr 8;464(7290):890-3. doi: 10.1038/nature08891.
8
Context-dependent interaction leads to emergent search behavior in social aggregates.上下文相关的相互作用导致社会群体中涌现出搜索行为。
Proc Natl Acad Sci U S A. 2009 Dec 29;106(52):22055-60. doi: 10.1073/pnas.0907929106. Epub 2009 Dec 14.
9
Collective motion in animal groups from a neurobiological perspective: the adaptive benefits of dynamic sensory loads and selective attention.从神经生物学角度看动物群体的集体运动:动态感官负荷和选择性注意的适应性益处。
J Theor Biol. 2009 Dec 21;261(4):501-10. doi: 10.1016/j.jtbi.2009.08.013. Epub 2009 Aug 20.
10
Collective motion due to individual escape and pursuit response.由于个体的逃避和追逐反应而产生的集体运动。
Phys Rev Lett. 2009 Jan 9;102(1):010602. doi: 10.1103/PhysRevLett.102.010602. Epub 2009 Jan 8.

运动引导的注意力促进社交导航中的自适应交流。

Motion-guided attention promotes adaptive communications during social navigation.

机构信息

Environmental Laboratory, U.S. Army Engineer Research and Development Center, Portland, OR 97208, USA.

出版信息

Proc Biol Sci. 2013 Jan 16;280(1754):20122003. doi: 10.1098/rspb.2012.2003. Print 2013 Mar 7.

DOI:10.1098/rspb.2012.2003
PMID:23325772
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3574319/
Abstract

Animals are capable of enhanced decision making through cooperation, whereby accurate decisions can occur quickly through decentralized consensus. These interactions often depend upon reliable social cues, which can result in highly coordinated activities in uncertain environments. Yet information within a crowd may be lost in translation, generating confusion and enhancing individual risk. As quantitative data detailing animal social interactions accumulate, the mechanisms enabling individuals to rapidly and accurately process competing social cues remain unresolved. Here, we model how motion-guided attention influences the exchange of visual information during social navigation. We also compare the performance of this mechanism to the hypothesis that robust social coordination requires individuals to numerically limit their attention to a set of n-nearest neighbours. While we find that such numerically limited attention does not generate robust social navigation across ecological contexts, several notable qualities arise from selective attention to motion cues. First, individuals can instantly become a local information hub when startled into action, without requiring changes in neighbour attention level. Second, individuals can circumvent speed-accuracy trade-offs by tuning their motion thresholds. In turn, these properties enable groups to collectively dampen or amplify social information. Lastly, the minority required to sway a group's short-term directional decisions can change substantially with social context. Our findings suggest that motion-guided attention is a fundamental and efficient mechanism underlying collaborative decision making during social navigation.

摘要

动物通过合作能够增强决策能力,通过分散的共识可以快速做出准确的决策。这些相互作用通常依赖于可靠的社交线索,从而在不确定的环境中产生高度协调的活动。然而,群体内部的信息可能会在翻译过程中丢失,导致混乱并增加个体风险。随着详细描述动物社交互动的定量数据的积累,使个体能够快速准确地处理竞争社交线索的机制仍未得到解决。在这里,我们模拟了运动引导的注意力如何影响社交导航过程中视觉信息的交换。我们还将这种机制的性能与以下假设进行了比较,即稳健的社会协调需要个体将注意力数值限制在一组 n 个最近邻内。虽然我们发现,这种数值上的注意力限制并不能在各种生态环境下产生稳健的社会导航,但选择性地关注运动线索会产生一些显著的特性。首先,当个体被惊到时,它们可以立即成为局部信息中心,而无需改变邻居的注意力水平。其次,个体可以通过调整运动阈值来规避速度-准确性权衡。反过来,这些特性使群体能够集体抑制或放大社交信息。最后,少数人可以改变群体的短期方向决策,而这种变化在很大程度上取决于社交环境。我们的研究结果表明,运动引导的注意力是社交导航过程中协作决策的一种基本而有效的机制。