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首页> 外文期刊>Annals of the New York Academy of Sciences >Eye-Head Coordination during Free Exploration in Human and Cat
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Eye-Head Coordination during Free Exploration in Human and Cat

机译:人和猫自由探索过程中的眼头协调

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摘要

Eye, head, and body movements jointly control the direction of gaze and the stabil ity 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 move ments 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, photore ceptor density, and saccade frequency, eye-movement characteristics in both species are remarkably similar. Coordinated eye and head movements dominate the dynam ics 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.
机译:在大多数哺乳动物中,眼睛,头部和身体的运动共同控制着凝视的方向和视网膜图像的稳定性。但是,各个运动成分的贡献将在很大程度上取决于动物所占据的生态位和动物视网膜的布局,尤其是其感光细胞的密度分布。在这里,我们测量了猫的头顶运动和头顶运动的相对贡献,并将结果与​​最近的人类数据进行了比较。对于猫,使用了轻量级的定制头戴式视频设置(CatCam)。人类的数据是通过新型EyeSeeCam设备获取的,该设备可测量眼睛位置以实时控制视线摄像机。对于这两个物种,分析都是基于自然环境自由探索期间眼睛和头部运动的同步记录。尽管生态位,光感受器密度和扫视频率存在很大差异,但两种物种的眼球运动特征都非常相似。眼睛和头部的协调运动支配着视网膜输入的动力。有趣的是,补偿性运动(注视稳定)在人类中的作用比在猫中更为重要。这项发现被认为是头部运动的时间尺度大不相同的结果,猫的头部运动比人的运动速度快约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,以获得对生态现实设置的有效性。

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