The dynamics of landmark navigation in wood ants
木蚁地标导航的动态
基本信息
- 批准号:BB/E012043/1
- 负责人:
- 金额:$ 41.4万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2007
- 资助国家:英国
- 起止时间:2007 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Some ants follow long, visually guided foraging routes. Study of their route following shows that they acquire multiple visual memories, retrieve them appropriately during the route and guide their paths with this stored visual information. We will improve our understanding of these processes by analysing landmark guidance on a moment-by-moment basis. For this purpose, we have developed a route along which ants guide themselves by means of a single visual feature that we can perturb at defined points during their path. A video-tracking camera gives a precise record of the ant's path and its body orientation, and lets us infer the landmark's position on the ant's retina. This methodology also opens to experiment a neglected but significant aspect of landmark guidance. Ants are so close to the ground that small bumps will frequently obscure their view of guiding landmarks so that they must be able to maintain a path with only intermittent access to visual input. How do ants navigate over uneven terrain? The information that we will obtain by recording the ant's behavioural responses to landmark perturbations will bring us closer to the underlying mechanisms of visual guidance, and so will be of use to neuroscientists and to computer scientists working on the navigation of autonomous robots. We have found that ants will learn a straight route to food placed at the base of a black-white vertical edge, where the black side fades slowly into the white of the walls of the surrounding experimental arena. In this case, the ant's visual task is simply to keep the edge at the front of the eye throughout its approach. Ants will also learn a straight route to food placed at a short distance to the side of the edge. This task is more taxing as the desired retinal position of the edge shifts from the front towards the periphery of the eye during the ant's approach. Our data suggest that the ant stores a sequence of visual memories (the desired positions of the edge on its retina), and that during its route it retrieves the appropriate memory and guides itself by moving to place the edge at the currently desired retinal position. The retrieval of particular desired edge positions seems to be cued by the gradient's apparent width, a visual parameter that increases reliably during the ant's approach and so can provide a robust retrieval signal. Perturbation studies with gradient edges displayed on an LCD screen will give us data to test and improve these hypotheses. The ant's reaction to abrupt changes in the position of the edge should reveal the current desired retinal position as the null point, where there is a switch in the direction of the ant's corrective response to perturbations of different magnitudes and directions. We will map how the desired edge position changes along the route. Does it change continuously or in a step-wise manner, as predicted by a sequence of discrete memories? By altering the width of the gradient, but keeping edge position constant, we can see whether the ant's desired edge position shifts as predicted by the notion that the width of the gradient determines the ant's currently active memory. Similar experiments can tell us how ants cope with intermittent visual input and the role of motor learning in this process. Thus, we expect ants to show 'inertia' and continue towards the goal for a while after the edge is made to disappear. The learning of a motor trajectory should show itself as inertial effects that increase with experience and an increased sluggishness when the ant tracks oscillating edges. Stronger evidence for trajectory learning will be sought by training ants to perform curved trajectories to an edge that always moves during their approach and examining the curvature of the path when the edge vanishes. To explore how ants behave in more natural conditions, we will analyse landmark guidance when ants walk over bumpy ground.
有些蚂蚁沿着视觉引导的长路线觅食。对它们路线跟踪的研究表明,它们获得了多种视觉记忆,并在行进过程中适当地检索这些视觉记忆,并利用这些存储的视觉信息来引导自己的路径。我们将通过逐时分析具有里程碑意义的指导方针来提高我们对这些过程的理解。为此,我们开发了一条路线,蚂蚁通过一个单一的视觉特征来引导自己,我们可以在它们的路径上的特定点进行干扰。视频跟踪摄像机可以精确记录蚂蚁的路径和身体方向,并让我们推断出地标在蚂蚁视网膜上的位置。这种方法也开启了对里程碑式指导中一个被忽视但很重要的方面的实验。蚂蚁离地面太近了,小的颠簸常常会模糊它们对路标的视野,因此它们必须能够保持一条只能断断续续获得视觉输入的路径。蚂蚁如何在不平坦的地形上行走?我们将通过记录蚂蚁对标志性扰动的行为反应获得的信息,将使我们更接近视觉引导的潜在机制,因此将对从事自主机器人导航工作的神经科学家和计算机科学家有用。我们发现,蚂蚁会学会一条通往食物的直线路线,这条直线被放置在黑白垂直边缘的底部,在那里,黑色的一面慢慢地消失在周围实验场地的白色墙壁中。在这种情况下,蚂蚁的视觉任务只是在接近的过程中保持边缘在眼睛的前面。蚂蚁也会学习一条直接的路线去寻找放在边缘附近的食物。当蚂蚁靠近时,视网膜边缘的理想位置从眼睛的前部移向眼睛的外围时,这项任务就更加费力了。我们的数据表明,蚂蚁存储了一系列视觉记忆(视网膜上边缘的期望位置),并且在其路线中检索适当的记忆并通过移动将边缘放置在当前期望的视网膜位置来引导自己。对特定边缘位置的检索似乎是由梯度的表观宽度提示的,这是一个视觉参数,在蚂蚁的接近过程中可靠地增加,因此可以提供一个鲁棒的检索信号。在液晶屏幕上显示梯度边缘的扰动研究将为我们提供检验和改进这些假设的数据。蚂蚁对边缘位置突变的反应应该显示当前所需的视网膜位置作为零点,在那里,蚂蚁对不同大小和方向的扰动的纠正反应方向发生了切换。我们将绘制所需的边缘位置如何沿着路线变化。它是连续变化的,还是像一系列离散记忆所预测的那样,以一种循序渐进的方式变化?通过改变梯度的宽度,但保持边缘位置不变,我们可以看到蚂蚁想要的边缘位置是否像预测的那样变化,即梯度的宽度决定了蚂蚁当前的活动记忆。类似的实验可以告诉我们蚂蚁是如何处理间歇性视觉输入的,以及运动学习在这个过程中的作用。因此,我们预计蚂蚁会表现出“惯性”,在边缘消失后继续朝目标前进一段时间。对运动轨迹的学习应该表现为惯性效应,这种惯性效应随着经验的增加而增加,当蚂蚁沿着振荡边缘运动时,它的惰性也会增加。通过训练蚂蚁对其接近过程中始终移动的边缘执行弯曲轨迹,并在边缘消失时检查路径的曲率,将寻求更有力的轨迹学习证据。为了探索蚂蚁在更自然的条件下的行为,我们将分析蚂蚁在崎岖不平的地面上行走时的地标性指引。
项目成果
期刊论文数量(9)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
A motor component to the memories of habitual foraging routes in wood ants?
木蚁习惯性觅食路线记忆的运动成分?
- DOI:10.1016/j.cub.2008.11.060
- 发表时间:2009
- 期刊:
- 影响因子:0
- 作者:Lent DD
- 通讯作者:Lent DD
Phase-dependent visual control of the zigzag paths of navigating wood ants.
对导航木蚁之字形路径的相位依赖视觉控制。
- DOI:10.1016/j.cub.2013.10.014
- 发表时间:2013
- 期刊:
- 影响因子:0
- 作者:Lent DD
- 通讯作者:Lent DD
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Thomas Collett其他文献
The neuroethology of ant navigation
蚂蚁导航的神经行为学
- DOI:
10.1016/j.cub.2024.12.034 - 发表时间:
2025-02-03 - 期刊:
- 影响因子:7.500
- 作者:
Thomas Collett;Paul Graham;Stanley Heinze - 通讯作者:
Stanley Heinze
Survey flights in honeybees
蜜蜂的探测飞行
- DOI:
10.1038/35000679 - 发表时间:
2000-02-03 - 期刊:
- 影响因子:48.500
- 作者:
Thomas Collett - 通讯作者:
Thomas Collett
A toad's devious approach to its prey: A study of some complex uses of depth vision
- DOI:
10.1007/bf00619078 - 发表时间:
1979-06-01 - 期刊:
- 影响因子:2.200
- 作者:
Alison Lock;Thomas Collett - 通讯作者:
Thomas Collett
Thomas Collett的其他文献
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{{ truncateString('Thomas Collett', 18)}}的其他基金
The statistical era of strong gravitational lensing
强引力透镜的统计时代
- 批准号:
ST/T003723/1 - 财政年份:2020
- 资助金额:
$ 41.4万 - 项目类别:
Fellowship
相似国自然基金
基于Landmark知识的规划方法研究
- 批准号:61103136
- 批准年份:2011
- 资助金额:22.0 万元
- 项目类别:青年科学基金项目
相似海外基金
The Effects of Landmark Uncertainty in VGI-based Maps: Approaches to Improve Wayfinding and Navigation Performance
基于 VGI 的地图中地标不确定性的影响:改善寻路和导航性能的方法
- 批准号:
314977345 - 财政年份:2016
- 资助金额:
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Priority Programmes
A Landmark Aided Dead Reckoning Navigation System
具有里程碑意义的辅助航位推算导航系统
- 批准号:
410917-2011 - 财政年份:2011
- 资助金额:
$ 41.4万 - 项目类别:
Alexander Graham Bell Canada Graduate Scholarships - Master's
Functions of Real Scale Map and Their Use in Ubiquitous Mapping
真实比例尺地图的作用及其在普适测绘中的应用
- 批准号:
17500709 - 财政年份:2005
- 资助金额:
$ 41.4万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
RUI: Landmark-Based Mobile Robot Navigation Using Expected Shortest Paths
RUI:使用预期最短路径的基于地标的移动机器人导航
- 批准号:
0118892 - 财政年份:2002
- 资助金额:
$ 41.4万 - 项目类别:
Continuing Grant
Snapshots, local landmarks, and beacons: types of landmarks and landmark usage in real and virtual environment navigation
快照、本地地标和信标:真实和虚拟环境导航中的地标类型和地标使用
- 批准号:
5159922 - 财政年份:1999
- 资助金额:
$ 41.4万 - 项目类别:
Research Grants
POWRE: Geometric Algorithms for Landmark-Based Mobile Robot Navigation
POWRE:基于地标的移动机器人导航的几何算法
- 批准号:
9806108 - 财政年份:1998
- 资助金额:
$ 41.4万 - 项目类别:
Standard Grant