模拟人类视觉系统中的临界闪烁融合频率

IF 4.033 Q4 Biochemistry, Genetics and Molecular Biology
S. I. Lyapunov, I. I. Shoshina, I. S. Lyapunov
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引用次数: 0

摘要

摘要 视觉系统的时间分辨能力对于感知客观世界至关重要。能使感知融合的图像序列的最低采样率被称为临界闪烁融合频率(CFFF)。关于临界频率阈值的各种实验数据可以从视觉系统对比敏感度模型的角度来解释,该模型基于震颤调制信号(TMS)。该模型描述了临界频率如何取决于刺激亮度、适应亮度以及刺激的持续时间和角度大小。该模型表明,对于持续时间短、角度大的明亮刺激物,临界频率值的范围可达 1000 赫兹;对于视觉系统来说,300-500 赫兹的帧频应被视为最佳频率;而对于小角度刺激物,临界频率则位于低频区域。闪烁融合率的差异可以用大细胞神经元和副细胞神经元的时间敏感性来解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Modeling the Critical Flicker Fusion Frequency in the Human Visual System

Modeling the Critical Flicker Fusion Frequency in the Human Visual System

The temporal resolving power of the visual system is essential for the perception of the objective world. The lowest sampling rate of a sequence of images at which perception becomes fused is called the critical flicker fusion frequency (CFFF). A variety of experimental data on critical frequency thresholds can be explained from the viewpoint of a model of the contrast sensitivity of the visual system that is based on the tremor modulation signal (TMS). The model describes how the critical frequency depends on the stimulus brightness, adaptation brightness, and the duration and angular size of the stimulus. The model demonstrates that critical frequency values lie in a range up to 1000 Hz for bright stimuli of a short duration and a large angular size, that a frame rate of 300–500 Hz should be considered optimal for the visual system, and that the critical frequency lies in a low-frequency region for small-sized angular stimuli. Differences in the rate of flicker fusion can be explained by temporal sensitivity of magnocellular and parvocellular neurons.

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来源期刊
Biophysics
Biophysics Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
1.20
自引率
0.00%
发文量
67
期刊介绍: Biophysics is a multidisciplinary international peer reviewed journal that covers a wide scope of problems related to the main physical mechanisms of processes taking place at different organization levels in biosystems. It includes structure and dynamics of macromolecules, cells and tissues; the influence of environment; energy transformation and transfer; thermodynamics; biological motility; population dynamics and cell differentiation modeling; biomechanics and tissue rheology; nonlinear phenomena, mathematical and cybernetics modeling of complex systems; and computational biology. The journal publishes short communications devoted and review articles.
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