Dimova Kameliya D, Denham Michael J
Centre for Theoretical and Computational Neuroscience, University of Plymouth, Plymouth PL4 8AA, UK.
Vision Res. 2010 Mar 17;50(6):585-97. doi: 10.1016/j.visres.2010.01.004. Epub 2010 Jan 11.
We describe a theoretical and computational model of the perception of plaid pattern motion which fully accounts for the majority of cases in which misperception of the direction of motion of Type II plaids has been observed [Yo, C., & Wilson, H. (1992). Perceived direction of moving two-dimensional patterns depends on duration, contrast, and eccentricity. Vision Research 32, 135-147]. The model consists of two stages: in the first stage local motion detectors signal both the one-dimensional (1-D) and two-dimensional (2-D) motion of the high luminance features (blobs) in the plaid pattern; in the second stage these local motion signals are combined using a recursive Bayesian least squares estimation process. We demonstrate both theoretically and using simulations of the computational model that the estimated direction of the plaid motion for Type II plaids is initially dominated by the 1-D motion of the longer edges of the elongated blobs, which is in a direction close to the vector sum direction of the component gratings. The recursive estimation process which combines the local motion signals in the second stage of the model results in a dynamic shift in the estimated plaid direction towards the direction of the 2-D motion of the blobs, which corresponds to the veridical plaid direction.
我们描述了一种用于感知格子图案运动的理论和计算模型，该模型充分解释了大多数观察到对II型格子运动方向存在误判的情况[Yo, C., & Wilson, H. (1992). 二维运动图案的感知方向取决于持续时间、对比度和偏心率。《视觉研究》32, 135 - 147]。该模型由两个阶段组成：在第一阶段，局部运动检测器同时发出格子图案中高亮度特征（斑点）的一维（1 - D）和二维（2 - D）运动信号；在第二阶段，这些局部运动信号通过递归贝叶斯最小二乘估计过程进行组合。我们通过理论论证和计算模型模拟均证明，II型格子的格子运动估计方向最初由细长斑点较长边缘的一维运动主导，该方向接近组成光栅的矢量和方向。在模型的第二阶段中组合局部运动信号的递归估计过程导致估计的格子方向动态地向斑点二维运动方向偏移，该方向对应于真实的格子方向。
