人眼微动时仍能感知世界稳定，论文揭示其背后特定神经计算机制。
Stimulus Motion Perception Studies Imply Specific Neural Computations in Human Visual Stabilization
- 基于视觉稳定实验，提出一套精确处理视网膜信号的计算机制。
- 实验证明人类对运动的感知依赖于特定神经运算，非简单图像稳定。
- 适合研究视觉感知、神经机制或生物启发视觉系统的研究者阅读。
即使在注视时，人眼也会以高达100Hz的频率进行小幅度随机方向的微动。这导致视网膜上的图像特征持续扫过多个视锥细胞，但外界稳定的物体仍被感知为稳定，移动的物体则被感知为运动。十余年的系列实验揭示了视觉稳定的心理物理学远比相机图像稳定或进化最简假设所预期的复杂。实验结果强烈暗示视网膜信号经过特定操作，才产生观测到的稳定感知行为。本文分两层阐述：第一层为可能负责该行为的功能性机制描述；第二层则提出可能实现该功能的电路级神经元件的推测性构想。
原文摘要 · Abstract (English)
Even during fixation the human eye is constantly in low amplitude motion, jittering over small angles in random directions at up to 100Hz. This motion results in all features of the image on the retina constantly traversing a number of cones, yet objects which are stable in the world are perceived to be stable, and any object which is moving in the world is perceived to be moving. A series of experiments carried out over a dozen years revealed the psychophysics of visual stabilization to be more nuanced than might be assumed, say, from the mechanics of stabilization of camera images, or what might be assumed to be the simplest solution from an evolutionary perspective. The psychophysics revealed by the experiments strongly implies a specific set of operations on retinal signals resulting in the observed stabilization behavior. The presentation is in two levels. First is a functional description of the action of the mechanism that is very likely responsible for the experimentally observed behavior. Second is a more speculative proposal of circuit-level neural elements that might implement the functional behavior.
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