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Image statistics at the point of gaze during human navigation

机译:人体导航时凝视点的图像统计

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摘要

Theories of efficient sensory processing have considered the regularities of image properties due to the structure of the environment in order to explain properties of neuronal representations of the visual world. The regularities imposed on the input to the visual system due to the regularities of the active selection process mediated by the voluntary movements of the eyes have been considered to a much lesser degree. This is surprising, given that the active nature of vision is well established. The present article investigates statistics of image features at the center of gaze of human subjects navigating through a virtual environment and avoiding and approaching different objects. The analysis shows that contrast can be significantly higher or lower at fixation location compared to random locations, depending on whether subjects avoid or approach targets. Similarly, significant differences in the distribution of responses of model simple and complex cells between horizontal and vertical orientations are found over timescales of tens of seconds. By clustering the model simple cell responses, it is established that gaze was directed toward three distinct features of intermediate complexity the vast majority of time. Thus, this study demonstrates and quantifies how the visuomotor tasks of approaching and avoiding objects during navigation determine feature statistics of the input to the visual system through the combined influence on body and eye movements.
机译:有效的感觉处理理论已经考虑了由于环境结构而引起的图像特性的规律性,以便解释视觉世界的神经元表示的特性。由于主动选择过程的规则性(由眼睛的自愿运动介导),对输入到视觉系统的规则性被认为程度要小得多。鉴于视觉的积极性已得到充分确立,这令人惊讶。本文研究了在虚拟环境中导航并避开并接近不同物体的人类对象凝视中心图像特征的统计数据。分析显示,与随机位置相比,固定位置的对比度可能明显更高或更低,这取决于对象是避开还是接近目标。同样,在数十秒的时间范围内,水平和垂直方向之间的模型简单单元和复杂单元的响应分布存在显着差异。通过对模型的简单细胞响应进行聚类,可以确定凝视在大多数时间都指向中间复杂性的三个不同特征。因此,本研究演示并量化了导航过程中接近和避开物体的视觉运动任务如何通过对身体和眼睛运动的综合影响来确定视觉系统输入的特征统计量。

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