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

Outcomes after pancreatic resections for secondary tumors in the pancreas: a single-center experience.

Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract·2026
Same author

Same-different learning of odour stimuli in dogs.

Animal cognition·2026
Same author

Visual lateralization as an indicator of animal welfare.

Biology letters·2025
Same author

Anticipation of cyclical resource availability in the red-footed tortoise (Chelonoidis carbonaria): Implications for seed dispersal.

Learning & behavior·2025
Same author

Correction: Odour generalisation and detection dog training.

Animal cognition·2025
Same author

Evidence of mood states in reptiles.

Animal cognition·2025
Same journal

MT-MRI for detection of renal interstitial fibrosis in renovascular disease.

Scientific reports·2026
Same journal

Detection of underground objects from GPR data using a lightweight YOLO-based approach.

Scientific reports·2026
Same journal

Early systemic inflammatory-metabolic trajectory phenotypes are associated with survival outcomes in metastatic renal cell carcinoma treated with nivolumab.

Scientific reports·2026
Same journal

Water balance components in a dry-seeded rice-wheat system: Untangling the effects of tillage and mulching practices.

Scientific reports·2026
Same journal

Topological approaches to quantum tensor train compression via ZX-calculus and SVD.

Scientific reports·2026
Same journal

determinants of flood impacts and adaptive capacity among market vendors in Walukuba-Masese, Jinja city, Uganda.

Scientific reports·2026
查看所有相关文章

相关实验视频

Updated: Jul 17, 2025

Using the FishSim Animation Toolchain to Investigate Fish Behavior: A Case Study on Mate-Choice Copying In Sailfin Mollies
10:50

Using the FishSim Animation Toolchain to Investigate Fish Behavior: A Case Study on Mate-Choice Copying In Sailfin Mollies

Published on: November 8, 2018

10.9K

模拟鱼类的个人运动.

Thomas W Pike1, Oliver H P Burman2

  • 1Department of Life Sciences, University of Lincoln, Lincoln, LN6 7DL, UK. tpike@lincoln.ac.uk.

Scientific reports
|September 4, 2023
PubMed
概括
此摘要是机器生成的。

研究人员用3D定量化了三脊鱼 (Gasterosteus aculeatus) 的运动. 一个新的模型准确地模拟了鱼的运动,活鱼更喜欢模拟的路径而不是非自然的路径.

更多相关视频

Automated Interactive Video Playback for Studies of Animal Communication
07:21

Automated Interactive Video Playback for Studies of Animal Communication

Published on: February 9, 2011

13.6K
Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish
10:56

Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish

Published on: March 6, 2014

12.6K

相关实验视频

Last Updated: Jul 17, 2025

Using the FishSim Animation Toolchain to Investigate Fish Behavior: A Case Study on Mate-Choice Copying In Sailfin Mollies
10:50

Using the FishSim Animation Toolchain to Investigate Fish Behavior: A Case Study on Mate-Choice Copying In Sailfin Mollies

Published on: November 8, 2018

10.9K
Automated Interactive Video Playback for Studies of Animal Communication
07:21

Automated Interactive Video Playback for Studies of Animal Communication

Published on: February 9, 2011

13.6K
Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish
10:56

Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish

Published on: March 6, 2014

12.6K

科学领域:

  • 动物行为 动物行为
  • 生物物理学的生物物理.
  • 计算生物学是一种计算生物学.

背景情况:

  • 量化动物运动对于理解行为和模拟现实的模式至关重要.
  • 了解细度,三维 (3D) 动物运动仍然是一个挑战.

研究的目的:

  • 开发一个模拟生物可信鱼类运动的模型.
  • 为了评估鱼类移动模式的个体变化.
  • 用行为测试评估模拟运动的生物现实性.

主要方法:

  • 收集了高时间分辨率的3D空间数据,这些数据来自三脊鱼 (Gasterosteus aculeatus).
  • 导出运动统计来描述几何性质和个体变异.
  • 开发了一种鱼类运动模型,并使用活鱼的图灵型测试来验证它.

主要成果:

  • 该模型成功地捕获了鱼类运动的关键几何特征.
  • 活着的三旋鱼不能区分真实和模拟模型的运动.
  • 鱼类显著更喜欢模拟运动,而不是非自然的运动模式.

结论:

  • 开发的模型可以生成生物可行的鱼类移动路径.
  • 该模型有助于理解个体运动变化及其原因/后果.
  • 能够构建基于代理的模型和现实的动画,用于鱼类行为研究.