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Fixational eye movements during viewing of dynamic natural scenes

机译:观看动态自然场景时的注视眼动

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Even during periods of fixation our eyes undergo small amplitude movements. These movements are thought to be essential to the visual system because neural responses rapidly fade when images are stabilized on the retina. The considerable recent interest in fixational eye movements (FEMs) has thus far concentrated on idealized experimental conditions with artificial stimuli and restrained head movements, which are not necessarily a suitable model for natural vision. Natural dynamic stimuli, such as movies, offer the potential to move beyond restrictive experimental settings to probe the visual system with greater ecological validity. Here, we study FEMs recorded in humans during the unconstrained viewing of a dynamic and realistic visual environment, revealing that drift trajectories exhibit the properties of a random walk with memory. Drifts are correlated at short time scales such that the gaze position diverges from the initial fixation more quickly than would be expected for an uncorrelated random walk. We propose a simple model based on the premise that the eye tends to avoid retracing its recent steps to prevent photoreceptor adaptation. The model reproduces key features of the observed dynamics and enables estimation of parameters from data. Our findings show that FEM correlations thought to prevent perceptual fading exist even in highly dynamic real-world conditions.
机译:即使在注视期间,我们的眼睛也会发生小幅度的运动。这些运动被认为对视觉系统至关重要,因为当图像稳定在视网膜上时,神经反应会迅速消失。迄今为止,近来对固定眼动(FEM)的相当大的兴趣集中在具有人工刺激和约束性头部运动的理想实验条件下,这些条件不一定是自然视觉的合适模型。电影等自然动态刺激提供了超越限制性实验设置的潜力,从而可以以更大的生态有效性来探测视觉系统。在这里,我们研究在动态和逼真的视觉环境的无限制观看过程中记录在人类中的FEM,揭示了漂移轨迹表现出具有记忆的随机行走的特性。漂移在较短的时间尺度上相关,因此凝视位置与初始注视的偏离比不相关的随机行走所期望的更快。我们提出了一个简单的模型,其前提是眼睛趋向于避免回溯其最近的步骤以防止感光器适应。该模型重现了观察到的动力学的关键特征,并能够根据数据估算参数。我们的发现表明,即使在高度动态的现实条件下,也存在被认为可以防止感知衰落的FEM相关性。

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