FicTrac: A visual method for tracking spherical motion and generating fictive animal paths
FicTrac: A visual method for tracking spherical motion and generating fictive animal paths
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DOI：
10.1016/j.jneumeth.2014.01.010
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发表时间：
2014-03-30
影响因子：
3
通讯作者：
Srinivasan, Mandyam V.
中科院分区：
文献类型：
--
作者：
Moore, Richard J. D.;Taylor, Gavin J.;Srinivasan, Mandyam V.
研究动物如何与虚拟现实交互可以进一步了解大脑如何在神经生理学和行为层面处理注意力、学习和记忆、感觉处理和导航。为此，我们开发了一种新颖的基于视觉的跟踪系统 FicTrac（虚构路径跟踪软件），用于仅使用标准相机和计算机视觉技术的输入来估计动物在旋转空气支撑球体时所走的路径。我们发现 FicTrac 的准确性和稳健性优于用于生成虚拟路径的标准光学鼠标方法的低成本实现。 FicTrac 易于实施，适用于各种实验配置，重要的是，执行速度快，可为行为动物提供实时感官反馈。我们使用 FicTrac 记录了系留蜜蜂（Apis mellifera）的行为，同时在开环和闭环实验范例中呈现视觉刺激。我们发现，当蜜蜂走向 LED 舞台上呈现的亮绿色垂直条时，FicTrac 可以准确记录蜜蜂的虚构路径。使用 FicTrac，我们在蜜蜂和果蝇（果蝇）中演示了闭环视觉固定，从而建立了该系统的灵活性。 FicTrac 为实验者提供了一个简单但适应性强的系统，可以与电生理记录技术相结合，研究各种生物体（包括行走脊椎动物）的行为神经机制。 (C) 2014 Elsevier B.V. 保留所有权利。
Studying how animals interface with a virtual reality can further our understanding of how attention, learning and memory, sensory processing, and navigation are handled by the brain, at both the neurophysiological and behavioural levels. To this end, we have developed a novel vision-based tracking system, FicTrac (Fictive path Tracking software), for estimating the path an animal makes whilst rotating an air-supported sphere using only input from a standard camera and computer vision techniques. We have found that the accuracy and robustness of FicTrac outperforms a low-cost implementation of a standard optical mouse-based approach for generating fictive paths. FicTrac is simple to implement for a wide variety of experimental configurations and, importantly, is fast to execute, enabling real-time sensory feedback for behaving animals. We have used FicTrac to record the behaviour of tethered honeybees, Apis mellifera, whilst presenting visual stimuli in both open-loop and closed-loop experimental paradigms. We found that FicTrac could accurately register the fictive paths of bees as they walked towards bright green vertical bars presented on an LED arena. Using FicTrac, we have demonstrated closed-loop visual fixation in both the honeybee and the fruit fly, Drosophila melanogaster, establishing the flexibility of this system. FicTrac provides the experimenter with a simple yet adaptable system that can be combined with electrophysiological recording techniques to study the neural mechanisms of behaviour in a variety of organisms, including walking vertebrates. (C) 2014 Elsevier B.V. All rights reserved.