• 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

通过行为机器人学方法比较斑马鱼的个体学习和社会学习

A Comparison of Individual Learning and Social Learning in Zebrafish Through an Ethorobotics Approach.

作者信息

Yang Yanpeng, Clément Romain J G, Ghirlanda Stefano, Porfiri Maurizio

机构信息

Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, School of Mechanical Engineering, Tianjin University, Tianjin, China.

Department of Mechanical and Aerospace Engineering, New York University, Tandon School of Engineering, Brooklyn, NY, United States.

出版信息

Front Robot AI. 2019 Aug 14;6:71. doi: 10.3389/frobt.2019.00071. eCollection 2019.

DOI:10.3389/frobt.2019.00071
PMID:33501086
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7805697/
Abstract

Social learning is ubiquitous across the animal kingdom, where animals learn from group members about predators, foraging strategies, and so on. Despite its prevalence and adaptive benefits, our understanding of social learning is far from complete. Here, we study observational learning in zebrafish, a popular animal model in neuroscience. Toward fine control of experimental variables and high consistency across trials, we developed a novel robotics-based experimental test paradigm, in which a robotic replica demonstrated to live subjects the correct door to join a group of conspecifics. We performed two experimental conditions. In the individual training condition, subjects learned the correct door without the replica. In the social training condition, subjects observed the replica approaching both the incorrect door, to no effect, and the correct door, which would open after spending enough time close to it. During these observations, subjects could not actively follow the replica. Zebrafish increased their preference for the correct door over the course of 20 training sessions, but we failed to identify evidence of social learning, whereby we did not register significant differences in performance between the individual and social training conditions. These results suggest that zebrafish may not be able to learn a route by observation, although more research comparing robots to live demonstrators is needed to substantiate this claim.

摘要

社会学习在动物界无处不在,动物们从群体成员那里学习有关捕食者、觅食策略等方面的知识。尽管社会学习普遍存在且具有适应性益处,但我们对它的理解还远未完善。在此,我们研究斑马鱼的观察性学习,斑马鱼是神经科学中一种常用的动物模型。为了精确控制实验变量并确保各试验之间具有高度一致性,我们开发了一种基于机器人技术的新型实验测试范式,在该范式中,一个机器人复制品向活体实验对象展示通往一群同种个体的正确门。我们进行了两种实验条件。在个体训练条件下,实验对象在没有复制品的情况下学习正确的门。在社会训练条件下,实验对象观察复制品接近错误的门(无效果)以及正确的门(在靠近足够长时间后会打开)。在这些观察过程中,实验对象无法主动跟随复制品。斑马鱼在20次训练过程中增加了对正确门的偏好,但我们未能找到社会学习的证据,也就是说,我们没有记录到个体训练条件和社会训练条件在表现上的显著差异。这些结果表明斑马鱼可能无法通过观察学习路线,不过还需要更多将机器人与活体示范者进行比较的研究来证实这一说法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8116/7805697/81530bbf0f7e/frobt-06-00071-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8116/7805697/dc649b49d006/frobt-06-00071-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8116/7805697/ee44355a301f/frobt-06-00071-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8116/7805697/e4e052d8f61f/frobt-06-00071-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8116/7805697/092a4b43e061/frobt-06-00071-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8116/7805697/076f7fb2f7c3/frobt-06-00071-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8116/7805697/69f7b30cd9b8/frobt-06-00071-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8116/7805697/81530bbf0f7e/frobt-06-00071-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8116/7805697/dc649b49d006/frobt-06-00071-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8116/7805697/ee44355a301f/frobt-06-00071-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8116/7805697/e4e052d8f61f/frobt-06-00071-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8116/7805697/092a4b43e061/frobt-06-00071-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8116/7805697/076f7fb2f7c3/frobt-06-00071-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8116/7805697/69f7b30cd9b8/frobt-06-00071-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8116/7805697/81530bbf0f7e/frobt-06-00071-g0007.jpg

相似文献

1
A Comparison of Individual Learning and Social Learning in Zebrafish Through an Ethorobotics Approach.通过行为机器人学方法比较斑马鱼的个体学习和社会学习
Front Robot AI. 2019 Aug 14;6:71. doi: 10.3389/frobt.2019.00071. eCollection 2019.
2
Model-based feedback control of live zebrafish behavior via interaction with a robotic replica.通过与机器人复制品交互对活斑马鱼行为进行基于模型的反馈控制。
IEEE Trans Robot. 2020 Feb;36(1):28-41. doi: 10.1109/tro.2019.2943066. Epub 2019 Sep 23.
3
How different is a 3D-printed replica from a conspecific in the eyes of a zebrafish?在斑马鱼眼中,3D打印的同种复制品与同种个体有多大差异?
J Exp Anal Behav. 2017 Mar;107(2):279-293. doi: 10.1002/jeab.247. Epub 2017 Feb 22.
4
Zebrafish Adjust Their Behavior in Response to an Interactive Robotic Predator.斑马鱼会根据互动式机器人捕食者调整自身行为。
Front Robot AI. 2019 May 31;6:38. doi: 10.3389/frobt.2019.00038. eCollection 2019.
5
Social learning of an associative foraging task in zebrafish.斑马鱼对联合觅食任务的社会学习
Naturwissenschaften. 2013 May;100(5):469-72. doi: 10.1007/s00114-013-1017-6. Epub 2013 Jan 25.
6
Acute caffeine administration affects zebrafish response to a robotic stimulus.急性给予咖啡因会影响斑马鱼对机器人刺激的反应。
Behav Brain Res. 2015 Aug 1;289:48-54. doi: 10.1016/j.bbr.2015.04.020. Epub 2015 Apr 20.
7
Further experimental analysis of the social learning and transmission of foraging information amongst Norway rats.对挪威大鼠觅食信息的社会学习与传播进行进一步实验分析。
Behav Processes. 1992;27(1):53-64. doi: 10.1016/0376-6357(92)90040-K.
8
Behavioral Teleporting of Individual Ethograms onto Inanimate Robots: Experiments on Social Interactions in Live Zebrafish.个体行为图谱向无生命机器人的行为转移:斑马鱼社交互动实验
iScience. 2020 Aug 21;23(8):101418. doi: 10.1016/j.isci.2020.101418. Epub 2020 Jul 29.
9
Live predators, robots, and computer-animated images elicit differential avoidance responses in zebrafish.活的捕食者、机器人和电脑动画图像在斑马鱼中引发不同的回避反应。
Zebrafish. 2015 Jun;12(3):205-14. doi: 10.1089/zeb.2014.1041. Epub 2015 Mar 3.
10
Social learning in a maze? Contrasting individual performance among wild zebrafish when associated with trained and naïve conspecifics.迷宫中的社会学习?比较野生斑马鱼与受过训练和未受过训练的同种个体相处时的个体表现。
Behav Processes. 2017 Nov;144:51-57. doi: 10.1016/j.beproc.2017.09.004. Epub 2017 Sep 6.

引用本文的文献

1
Bio-inspiration unveiled: Dissecting nature's designs through the lens of the female locust's oviposition mechanism.生物启发揭秘:通过雌性蝗虫产卵机制的视角剖析自然设计。
iScience. 2024 Nov 12;27(12):111378. doi: 10.1016/j.isci.2024.111378. eCollection 2024 Dec 20.
2
The hybrid bio-robotic swarm as a powerful tool for collective motion research: a perspective.作为集体运动研究有力工具的混合生物机器人集群:一种视角。
Front Neurorobot. 2023 Jul 14;17:1215085. doi: 10.3389/fnbot.2023.1215085. eCollection 2023.
3
Open-source five degree of freedom motion platform for investigating fish-robot interaction.

本文引用的文献

1
Insights into the Social Behavior of Surface and Cave-Dwelling Fish () in Light and Darkness through the Use of a Biomimetic Robot.通过使用仿生机器人对地表和洞穴鱼类在光照和黑暗条件下社会行为的洞察
Front Robot AI. 2018 Feb 5;5:3. doi: 10.3389/frobt.2018.00003. eCollection 2018.
2
Social learning through associative processes: a computational theory.通过联想过程进行的社会学习:一种计算理论。
R Soc Open Sci. 2019 Mar 13;6(3):181777. doi: 10.1098/rsos.181777. eCollection 2019 Mar.
3
Encoding lateralization of jump kinematics and eye use in a locust via bio-robotic artifacts.
用于研究鱼类与机器人交互的开源五自由度运动平台。
HardwareX. 2020 Mar 18;7:e00107. doi: 10.1016/j.ohx.2020.e00107. eCollection 2020 Apr.
4
Social Integrating Robots Suggest Mitigation Strategies for Ecosystem Decay.社交整合机器人为生态系统衰退提出缓解策略。
Front Bioeng Biotechnol. 2021 May 24;9:612605. doi: 10.3389/fbioe.2021.612605. eCollection 2021.
5
Opposite valence social information provided by bio-robotic demonstrators shapes selection processes in the green bottle fly.生物机器人展示的相反效价社会信息影响绿头苍蝇的选择过程。
J R Soc Interface. 2021 Mar;18(176):20210056. doi: 10.1098/rsif.2021.0056. Epub 2021 Mar 17.
6
Behavioural and life-history responses of mosquitofish to biologically inspired and interactive robotic predators.基于生物启发和互动的机器鱼对食蚊鱼的行为和生活史响应。
J R Soc Interface. 2019 Sep 27;16(158):20190359. doi: 10.1098/rsif.2019.0359. Epub 2019 Sep 11.
通过生物机器人人工制品对蝗虫跳跃运动学和眼睛使用的侧化进行编码。
J Exp Biol. 2019 Jan 16;222(Pt 2):jeb187427. doi: 10.1242/jeb.187427.
4
A review on animal-robot interaction: from bio-hybrid organisms to mixed societies.动物-机器人交互综述:从生物混合有机体到混合社会
Biol Cybern. 2019 Jun;113(3):201-225. doi: 10.1007/s00422-018-0787-5. Epub 2018 Nov 14.
5
Using a robotic fish to investigate individual differences in social responsiveness in the guppy.使用机器鱼研究孔雀鱼社会反应性的个体差异。
R Soc Open Sci. 2018 Aug 8;5(8):181026. doi: 10.1098/rsos.181026. eCollection 2018 Aug.
6
Computer Animation Technology in Behavioral Sciences: A Sequential, Automatic, and High-Throughput Approach to Quantifying Personality in Zebrafish (Danio rerio).行为科学中的计算机动画技术:一种用于量化斑马鱼(Danio rerio)个性的顺序、自动且高通量的方法。
Zebrafish. 2018 Apr;15(2):206-210. doi: 10.1089/zeb.2017.1532. Epub 2018 Jan 30.
7
Data-driven modelling of social forces and collective behaviour in zebrafish.基于数据的斑马鱼社会力与集体行为建模。
J Theor Biol. 2018 Apr 14;443:39-51. doi: 10.1016/j.jtbi.2018.01.011. Epub 2018 Jan 31.
8
Closed-loop control of zebrafish behaviour in three dimensions using a robotic stimulus.使用机器人刺激对斑马鱼在三维空间中的行为进行闭环控制。
Sci Rep. 2018 Jan 12;8(1):657. doi: 10.1038/s41598-017-19083-2.
9
Multiple cues produced by a robotic fish modulate aggressive behaviour in Siamese fighting fishes.机器鱼产生的多种线索调节暹罗斗鱼的攻击行为。
Sci Rep. 2017 Jul 5;7(1):4667. doi: 10.1038/s41598-017-04840-0.
10
Three-dimensional scoring of zebrafish behavior unveils biological phenomena hidden by two-dimensional analyses.三维评分揭示了二维分析掩盖的斑马鱼行为生物学现象。
Sci Rep. 2017 May 16;7(1):1962. doi: 10.1038/s41598-017-01990-z.