Laboratory of Sensorimotor Research, National Eye Institute, National Institutes of Health, Bethesda, MD, USA.
J Vis. 2024 Aug 1;24(8):14. doi: 10.1167/jov.24.8.14.
In this paper, we show that the model we proposed earlier to account for the disparity vergence eye movements (disparity vergence responses, or DVRs) in response to horizontal and vertical disparity steps of white noise visual stimuli also provides an excellent description of the short-latency ocular following responses (OFRs) to broadband stimuli in the visual motion domain. In addition, we reanalyzed the data and applied the model to several earlier studies that used sine-wave gratings (single or a combination of two or three gratings) and white noise stimuli. The model provides a very good account of all of these data. The model postulates that the short-latency eye movements-OFRs and DVRs-can be accounted for by the operation of two factors: an excitatory drive, determined by a weighted sum of contributions of stimulus Fourier components, scaled by a global contrast normalization mechanism. The output of the operation of these two factors is then nonlinearly scaled by the total contrast of the stimulus. Despite different roles of disparity (horizontal and vertical) and motion signals in visual scene analyses, the earliest processing stages of these different signals appear to be very similar.
在本文中，我们证明了我们之前提出的模型可以很好地解释水平和垂直方向的白色噪声视觉刺激的视差聚散眼动（视差聚散反应，DVR），也可以很好地描述视觉运动域中宽带刺激的短潜伏期眼球追随反应（OFR）。此外，我们重新分析了数据，并将模型应用于使用正弦光栅（单个或两个或三个光栅的组合）和白色噪声刺激的几个早期研究。该模型很好地解释了所有这些数据。该模型假设，短潜伏期眼球运动-OFR 和 DVR 可以通过两种因素的作用来解释：一种是兴奋性驱动，由刺激傅里叶分量的加权和决定，通过全局对比度归一化机制进行缩放。然后，这两个因素的运算结果通过刺激的总对比度进行非线性缩放。尽管视差（水平和垂直）和运动信号在视觉场景分析中扮演着不同的角色，但这些不同信号的最早处理阶段似乎非常相似。
