Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Speed-accuracy trade-offs in best-of-n collective decision making through heterogeneous mean-field modeling.

Physical review. E·2024
Same author

On the design of deep learning-based control algorithms for visually guided UAVs engaged in power tower inspection tasks.

Frontiers in robotics and AI·2024
Same author

Cooperative Object Transport in Multi-Robot Systems: A Review of the State-of-the-Art.

Frontiers in robotics and AI·2021
Same author

Editorial: Novel Technological and Methodological Tools for the Understanding of Collective Behaviors.

Frontiers in robotics and AI·2021
Same author

An investigation of the evolutionary origin of reciprocal communication using simulated autonomous agents.

Biological cybernetics·2009
Same author

Evolving self-assembly in autonomous homogeneous robots: experiments with two physical robots.

Artificial life·2009
Same journal

DSPE-ViT: a lightweight vision transformer with dynamic sparse positional encoding for dense small object detection in UAV imagery.

Frontiers in neurorobotics·2026
Same journal

ST-HONet: Spatio-Temporal Hierarchical Network for long-horizon bimanual visuomotor imitation.

Frontiers in neurorobotics·2026
Same journal

ST-HADP: Spatio-Temporal hierarchical attention diffusion policy for long-horizon generalizable bimanual visuomotor imitation.

Frontiers in neurorobotics·2026
Same journal

EQISP: efficient quantized image signal processing with multi-scale pyramid fusion for resource constrained embodied perception.

Frontiers in neurorobotics·2026
Same journal

Research on embodied agent multimodal perception and real-time path planning algorithms for complex unstructured environments.

Frontiers in neurorobotics·2026
Same journal

NL-YOLOv5: a model with a larger receptive field and the ability to globally acquire features.

Frontiers in neurorobotics·2026
查看所有相关文章

相关实验视频

Updated: Jan 6, 2026

Author Spotlight: Collective Behavioral Analysis of the Nematode, Caenorhabditis elegans
03:32

Author Spotlight: Collective Behavioral Analysis of the Nematode, Caenorhabditis elegans

Published on: August 25, 2023

1.4K

在C.C.的集体行为. 伊莱根斯 (elegans) 是一个词.

Nemanja Antonic1, Aymeric Vellinger1, Elio Tuci1

  • 1Faculty of Computer Science, University of Namur, Namur, Belgium.

Frontiers in neurorobotics
|December 3, 2025
PubMed
概括
此摘要是机器生成的。

这篇评论探讨了Caenorhabditis elegans (C. elegans) 的集体行为. 它强调了人们对人口密度和费洛蒙如何影响群体动态的理解上的差距,并提出跨学科的研究来解决这些局限性.

关键词:
这里是C. elegans.聚合方式 聚合方式 聚合方式集体行为就是集体行为.进行集体决策.蜂拥而至,如一群人.

更多相关视频

Automated Analysis of C. elegans Swim Behavior Using CeleST Software
08:47

Automated Analysis of C. elegans Swim Behavior Using CeleST Software

Published on: December 7, 2016

13.2K
Automated Behavioral Analysis of Large C. elegans Populations Using a Wide Field-of-view Tracking Platform
07:20

Automated Behavioral Analysis of Large C. elegans Populations Using a Wide Field-of-view Tracking Platform

Published on: November 28, 2018

9.7K

相关实验视频

Last Updated: Jan 6, 2026

Author Spotlight: Collective Behavioral Analysis of the Nematode, Caenorhabditis elegans
03:32

Author Spotlight: Collective Behavioral Analysis of the Nematode, Caenorhabditis elegans

Published on: August 25, 2023

1.4K
Automated Analysis of C. elegans Swim Behavior Using CeleST Software
08:47

Automated Analysis of C. elegans Swim Behavior Using CeleST Software

Published on: December 7, 2016

13.2K
Automated Behavioral Analysis of Large C. elegans Populations Using a Wide Field-of-view Tracking Platform
07:20

Automated Behavioral Analysis of Large C. elegans Populations Using a Wide Field-of-view Tracking Platform

Published on: November 28, 2018

9.7K

科学领域:

  • 生物学 生物学 生物学
  • 伦理学 伦理学 伦理学
  • 系统神经科学 系统神经科学

背景情况:

  • 凯诺哈比蒂斯 (C. elegans) 是一种广泛用于研究遗传学,神经生理学和行为生态学的模型生物.
  • 虽然C. elegans的神经元,遗传和分子通信机制已得到充分研究,但新兴的群体级动态仍然不明朗.

研究的目的:

  • 审查和分类关于C. elegans集体行为的现有文献.
  • 确定了解集体反应背后的机制的关键差距.
  • 提出一个跨学科的方法来解决这些局限性.

主要方法:

  • 文学评论对C. elegans的分类进行了集体行为研究.
  • 在聚合,群聚和集体决策研究中分析方法和贡献.
  • 对现有知识和方法挑战的批判性视角.

主要成果:

  • 在了解人口密度对群体动态的影响方面发现了重大差距.
  • 突出了关于自我产生的费洛蒙在调节相互作用和集体反应中的作用的有限知识.
  • 详细阐述了在密度,激素和集体行为之间建立因果关系的方法难题.

结论:

  • 目前对C. elegans集体行为机制的理解尚不完整.
  • 需要进一步的研究来阐明人口密度和费洛蒙的影响.
  • 建议采用一个跨学科的方法,将体内实验与数学和计算模型相结合,以推动该领域的发展.