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Visual Encoding with Jittering Eyes

机译:视觉编码与抖动的眼睛

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摘要

Under natural viewing conditions, small movements of the eye and body prevent the maintenance of a steady direction of gaze. It is known that stimuli tend to fade when they are stabilized on the retina for several seconds. However, it is unclear whether the physiological self-motion of the retinal image serves a visual purpose during the brief periods of natural visual fixation. This study examines the impact of fixational instability on the statistics of visual input to the retina and on the structure of neural activity in the early visual system. Fixational instability introduces fluctuations in the retinal input signals that, in the presence of natural images, lack spatial correlations. These input fluctuations strongly influence neural activity in a model of the LGN. They decorrelate cell responses, even if the contrast sensitivity functions of simulated cells are not perfectly tuned to counter-balance the power-law spectrum of natural images. A decorrelation of neural activity has been proposed to be beneficial for discarding statistical redundancies in the input signals. Fixational instability might, therefore, contribute to establishing efficient representations of natural stimuli.
机译:在自然观察条件下,眼睛和身体的小运动可以防止维持浅的凝视方向。众所周知,当它们在视网膜上稳定几秒钟时刺激趋于褪色。然而,目前尚不清楚视网膜图像的生理自动运动是否在自然视觉固定的短暂期间在视觉目的。本研究探讨了固定不稳定性对视网膜视觉输入统计的影响以及早期视觉系统中神经活动的结构。固定不稳定性引入了视网膜输入信号中的波动,即在自然图像存在下缺乏空间相关性。这些输入波动强烈影响LGN模型中的神经活动。它们使细胞响应脱落,即使模拟电池的对比灵敏度不完全调整以对平衡自然图像的功率法范围。已提出神经活动的去序列是有利于丢弃输入信号中的统计冗余。因此,固定不稳定可能有助于建立自然刺激的有效陈述。

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