School of Psychology, University of Wollongong, Wollongong, NSW 2500, Australia.
School of Psychology, UNSW Sydney, Sydney, NSW 2052, Australia.
J Vis. 2022 May 3;22(6):7. doi: 10.1167/jov.22.6.7.
Natural scenes contain several statistical regularities despite their superficially diverse appearances (e.g., mountains, rainforests, deserts). First, they exhibit a unique distribution of luminance intensities decreasing across spatial frequency, known as the 1/fα amplitude spectrum (α ≈ 1). Additionally, natural scenes share consistent geometric properties, comprising similar densities of structure across multiple scales-a property classifying them as fractal (e.g., how the branching patterns of rivers and trees appear similar irrespective of scale). These two properties are intimately related and correlate strongly in natural scenes. However, research using thresholded noise images suggests that spatially, the human visual system is preferentially tuned to natural scene structure more so than 1/fα spectra. It is currently unclear whether this dependency on natural geometry extends to the temporal domain. We used a psychophysics task to measure discrimination sensitivity toward two types of synthetic noise movies: gray scale and thresholded (N = 60). Each movie type shared the same geometric properties (measured fractal D), but substantially differing spectral properties (measured α). In both space and time, we observe a characteristic dependency on stimulus structure across movie types, with sensitivity peaking for stimuli with natural geometry despite having altered 1/fα spectra. Although only measured behaviorally, our findings may imply that the neural processes underlying this tuning have developed to be sensitive to the most stable signal in our natural environment-structure (e.g., the structural properties of a tree are consistent from morning to night despite illumination changes across time points).
自然场景尽管外观表面上各不相同,但仍包含几种统计规律(例如,山脉、雨林、沙漠)。首先,它们呈现出亮度强度随空间频率降低的独特分布,称为 1/fα 幅度谱(α≈1)。此外,自然场景具有一致的几何属性,包括在多个尺度上具有相似的结构密度——这一属性将它们归类为分形(例如,河流和树木的分支模式如何在不考虑尺度的情况下看起来相似)。这两个属性密切相关,在自然场景中相关性很强。然而,使用阈值噪声图像进行的研究表明,在空间上,人类视觉系统更倾向于对自然场景结构进行调谐,而不是 1/fα 谱。目前尚不清楚这种对自然几何形状的依赖是否扩展到时间域。我们使用心理物理学任务来衡量对两种类型的合成噪声电影的辨别敏感性:灰度和阈值(N=60)。每种电影类型都具有相同的几何属性(测量分形 D),但光谱属性有很大差异(测量α)。在空间和时间上,我们观察到跨电影类型的刺激结构的特征依赖性,尽管具有改变的 1/fα 谱,但对于具有自然几何形状的刺激,敏感性达到峰值。尽管仅在行为上进行了测量,但我们的发现可能意味着这种调谐背后的神经过程已经发展到对我们自然环境中最稳定的信号(例如,一棵树的结构属性从早晨到晚上保持一致,尽管随着时间点的变化照明发生变化)敏感。