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Saccades to future ball location reveal memory-based prediction in a virtual-reality interception task

机译:未来球定位的探查揭示了虚拟现实拦截任务中基于内存的预测

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Abstract Abstract: Abstract?? Despite general agreement that prediction is a central aspect of perception, there is relatively little evidence concerning the basis on which visual predictions are made. Although both saccadic and pursuit eye-movements reveal knowledge of the future position of a moving visual target, in many of these studies targets move along simple trajectories through a fronto-parallel plane. Here, using a naturalistic and racquet-based interception task in a virtual environment, we demonstrate that subjects make accurate predictions of visual target motion, even when targets follow trajectories determined by the complex dynamics of physical interactions and the head and body are unrestrained. Furthermore, we found that, following a change in ball elasticity, subjects were able to accurately adjust their prebounce predictions of the ball's post-bounce trajectory. This suggests that prediction is guided by experience-based models of how information in the visual image will change over time.
机译:摘要摘要:摘要?尽管人们普遍认为预测是感知的中心方面,但有关进行视觉预测的依据的证据相对较少。尽管扫视和追踪眼动都揭示了移动视觉目标的未来位置的知识,但在许多此类研究中,目标都沿着简单的轨迹穿过额平行平面移动。在这里,在虚拟环境中使用基于自然和基于球拍的拦截任务,我们证明了即使目标遵循由物理相互作用的复杂动力学确定的轨迹并且头部和身体不受约束,受试者也可以对视觉目标运动做出准确的预测。此外,我们发现,随着球弹性的变化,受试者能够准确地调整其对球弹跳后轨迹的弹跳前预测。这表明预测是通过基于经验的模型来指导的,该模型基于视觉图像中的信息将随着时间变化。

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