基于相关运动检测器模型的蝾螈运动诱导的头部运动和视网膜运动敏感性。

Jeffrey R Begley, Michael A Arbib
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引用次数: 0

摘要

我们报告了一种基于相关运动检测器的视网膜运动灵敏度计算模型。我们模拟了在运动过程中由于蝾螈头部运动引起的视网膜滑动的存在下的物体运动检测。我们的研究为蝾螈视网膜上的物体运动敏感神经节细胞提供了新的见解。对空间和时间过滤后的视网膜图像进行s型变换,大大提高了系统在静态自然背景下检测相对较大,快速模拟眼球运动的小目标的灵敏度,但不利于运动检测器的方向选择性。在模拟慢速、高对比度的实验室刺激时,s形对探测器性能的影响不显著。这些结果表明,s形结构降低了系统的噪声敏感性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Salamander locomotion-induced head movement and retinal motion sensitivity in a correlation-based motion detector model.

We report on a computational model of retinal motion sensitivity based on correlation-based motion detectors. We simulate object motion detection in the presence of retinal slip caused by the salamander's head movements during locomotion. Our study offers new insights into object motion sensitive ganglion cells in the salamander retina. A sigmoidal transformation of the spatially and temporally filtered retinal image substantially improves the sensitivity of the system in detecting a small target moving in place against a static natural background in the presence of comparatively large, fast simulated eye movements, but is detrimental to the direction-selectivity of the motion detector. The sigmoid has insignificant effects on detector performance in simulations of slow, high contrast laboratory stimuli. These results suggest that the sigmoid reduces the system's noise sensitivity.

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