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人类和猫在自由探索过程中的眼头协调

Eye-head coordination during free exploration in human and cat.

作者信息

Einhäuser Wolfgang, Moeller Gudrun U, Schumann Frank, Conradt Jörg, Vockeroth Johannes, Bartl Klaus, Schneider Erich, König Peter

机构信息

Department of Neurophysics, Philipps-University, Marburg, Germany.

出版信息

Ann N Y Acad Sci. 2009 May;1164:353-66. doi: 10.1111/j.1749-6632.2008.03709.x.

DOI:10.1111/j.1749-6632.2008.03709.x
PMID:19645927
Abstract

Eye, head, and body movements jointly control the direction of gaze and the stability of retinal images in most mammalian species. The contribution of the individual movement components, however, will largely depend on the ecological niche the animal occupies and the layout of the animal's retina, in particular its photoreceptor density distribution. Here the relative contribution of eye-in-head and head-in-world movements in cats is measured, and the results are compared to recent human data. For the cat, a lightweight custom-made head-mounted video setup was used (CatCam). Human data were acquired with the novel EyeSeeCam device, which measures eye position to control a gaze-contingent camera in real time. For both species, analysis was based on simultaneous recordings of eye and head movements during free exploration of a natural environment. Despite the substantial differences in ecological niche, photoreceptor density, and saccade frequency, eye-movement characteristics in both species are remarkably similar. Coordinated eye and head movements dominate the dynamics of the retinal input. Interestingly, compensatory (gaze-stabilizing) movements play a more dominant role in humans than they do in cats. This finding was interpreted to be a consequence of substantially different timescales for head movements, with cats' head movements showing about a 5-fold faster dynamics than humans. For both species, models and laboratory experiments therefore need to account for this rich input dynamic to obtain validity for ecologically realistic settings.

摘要

在大多数哺乳动物中,眼睛、头部和身体的运动共同控制着注视方向和视网膜图像的稳定性。然而,各个运动成分的贡献在很大程度上取决于动物所占据的生态位以及动物视网膜的布局,特别是其光感受器密度分布。在此,我们测量了猫的眼在头内运动和头在世界中运动的相对贡献,并将结果与最近的人类数据进行比较。对于猫,我们使用了一个轻便的定制头戴式视频装置(CatCam)。人类数据是通过新型EyeSeeCam设备获取的,该设备测量眼睛位置以实时控制注视相关相机。对于这两个物种,分析都是基于在自然环境中自由探索期间眼睛和头部运动的同步记录。尽管在生态位、光感受器密度和扫视频率方面存在显著差异,但两个物种的眼动特征非常相似。协调的眼睛和头部运动主导着视网膜输入的动态。有趣的是,补偿性(注视稳定)运动在人类中比在猫中发挥着更主导的作用。这一发现被解释为头部运动时间尺度存在显著差异的结果,猫的头部运动动态比人类快约5倍。因此,对于这两个物种,模型和实验室实验都需要考虑这种丰富的输入动态,以便在生态现实环境中获得有效性。

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