亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

From Fish out of Water to New Insights on Navigation Mechanisms in Animals

觅食 方向(向量空间) 计算机科学 功能(生物学) 代表(政治) 空格(标点符号) 点(几何) 人机交互 生态学 沟通
作者
Shachar Givon,Matan Samina,Ohad Ben-Shahar,Ronen Segev
出处
期刊:Behavioural Brain Research [Elsevier]
卷期号:: 113711-113711
标识
DOI:10.1016/j.bbr.2021.113711
摘要

Navigation is a critical ability for animal survival and is important for food foraging, finding shelter, seeking mates and a variety of other behaviors. Given their fundamental role and universal function in the animal kingdom, it makes sense to explore whether space representation and navigation mechanisms are dependent on the species, ecological system, brain structures, or whether they share general and universal properties. One way to explore this issue behaviorally is by domain transfer methodology, where one species is embedded in another species' environment and must cope with an otherwise familiar (in our case, navigation) task. Here we push this idea to the limit by studying the navigation ability of a fish in a terrestrial environment. For this purpose, we trained goldfish to use a Fish Operated Vehicle (FOV), a wheeled terrestrial platform that reacts to the fish's movement characteristics, location and orientation in its water tank to change the vehicle's; i.e., the water tank's, position in the arena. The fish were tasked to "drive" the FOV towards a visual target in the terrestrial environment, which was observable through the walls of the tank, and indeed were able to operate the vehicle, explore the new environment, and reach the target regardless of the starting point, all while avoiding dead-ends and correcting location inaccuracies. These results demonstrate how a fish was able to transfer its space representation and navigation skills to a wholly different terrestrial environment, thus supporting the hypothesis that the former possess a universal quality that is species-independent.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
15秒前
研友_8y2o0L发布了新的文献求助10
21秒前
23秒前
23秒前
小二郎应助科研通管家采纳,获得10
25秒前
jxdw620完成签到 ,获得积分10
36秒前
魏白晴完成签到,获得积分10
1分钟前
南栀完成签到,获得积分10
1分钟前
2分钟前
2分钟前
所所应助科研通管家采纳,获得10
2分钟前
熄熄完成签到 ,获得积分10
2分钟前
奇思妙想脆鲨鲨完成签到 ,获得积分10
2分钟前
栗子完成签到 ,获得积分10
3分钟前
1234完成签到,获得积分10
3分钟前
zT完成签到,获得积分10
3分钟前
YOG完成签到,获得积分10
4分钟前
领导范儿应助zT采纳,获得10
4分钟前
4分钟前
daihq3发布了新的文献求助10
4分钟前
传奇3应助科研通管家采纳,获得10
4分钟前
peekaboo完成签到,获得积分10
4分钟前
4分钟前
眼睛大以寒完成签到 ,获得积分10
5分钟前
研友_X84KrZ完成签到 ,获得积分10
6分钟前
可爱的函函应助艾七七采纳,获得10
6分钟前
科研通AI2S应助WangShIbei采纳,获得10
6分钟前
林小鹿应助安静凡蕾采纳,获得10
6分钟前
HHR33完成签到 ,获得积分10
6分钟前
眼睛大的芷珊完成签到 ,获得积分10
6分钟前
nexus完成签到 ,获得积分10
6分钟前
lzxbarry完成签到,获得积分0
6分钟前
WTt完成签到 ,获得积分10
6分钟前
6分钟前
7分钟前
zsia完成签到,获得积分10
7分钟前
葉鳳怡完成签到 ,获得积分10
7分钟前
WangShIbei发布了新的文献求助10
7分钟前
Shawn_54完成签到,获得积分10
7分钟前
Owen应助WangShIbei采纳,获得10
7分钟前
高分求助中
Manual of Clinical Microbiology, 4 Volume Set (ASM Books) 13th Edition 1000
Edestus (Chondrichthyes, Elasmobranchii) from the Upper Carboniferous of Xinjiang, China 500
Chinese-English Translation Lexicon Version 3.0 500
Electronic Structure Calculations and Structure-Property Relationships on Aromatic Nitro Compounds 500
マンネンタケ科植物由来メロテルペノイド類の網羅的全合成/Collective Synthesis of Meroterpenoids Derived from Ganoderma Family 500
[Lambert-Eaton syndrome without calcium channel autoantibodies] 440
Two-sample Mendelian randomization analysis reveals causal relationships between blood lipids and venous thromboembolism 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2380946
求助须知:如何正确求助?哪些是违规求助? 2088241
关于积分的说明 5244316
捐赠科研通 1815256
什么是DOI,文献DOI怎么找? 905670
版权声明 558821
科研通“疑难数据库(出版商)”最低求助积分说明 483644