Khuu Sieu K, Badcock David R
School of Psychology, The University of Western Australia, 35 Stirling Highway, Crawley WA 6009, Australia.
Vision Res. 2002 Dec;42(28):3031-42. doi: 10.1016/s0042-6989(02)00384-x.
A primary task of the visual system is to extract the direction and speed of animate objects from the retinal image. We examined global speed processing by determining how local speeds are integrated and whether integration occurs across all speeds or within fixed speed ranges. The first experiment addressed how local motion signals are combined to determine the speed of an object in motion. Observers judged the speed of a moving cloud of dots that took a random walk in direction while the dots inside the cloud moved somewhat independently of the cloud itself. The apparent speed of the cloud of dots is found to change in proportion with the dot speed and is well predicted by calculating the average speed resulting from nearest neighbour matches across stimulus frames. The second experiment addressed whether local speeds are combined across all speeds or within fixed speed ranges for the detection of global motion. Global dot motion (GDM) stimuli that moved in a radial or rotational directions moving at a low speed of 1.2 degrees /s or a high speed of 9.6 degrees /s were used to measure the thresholds for detecting structured motion as a function of the speed of noise dots (0 degrees /s-10.8 degrees /s) added to the stimulus. With low-speed targets, only additional noise dots moving at low speeds interfered with signal detection. High-speed targets were only interfered with by dots moving at high speeds. This finding established the existence of at least two independent speed tuned systems in the range of speeds tested. Experiment 3 investigated how speed signals are combined within a system to determine the global speed. Using sectored radial GDM stimuli the perceived speed of the fastest dots was measured as a function of whether the speed of the dots in alternate sectors either activated the high or low-speed systems. Averaging only occurred when dots were all within the sensitivity range of the high-speed system, however, if alternate sectors activated separate speed systems, averaging did not occur. Thus local speeds are averaged, independent of direction, to derive a global speed estimate, but averaging only occurs within, and not across, speed tuned mechanisms.
视觉系统的一项主要任务是从视网膜图像中提取有生命物体的运动方向和速度。我们通过确定局部速度是如何整合的,以及整合是在所有速度范围内还是在固定速度范围内发生,来研究全局速度处理。第一个实验探讨了局部运动信号是如何组合以确定运动物体的速度的。观察者判断一个随机游走方向的移动点云的速度,而点云内部的点在某种程度上独立于点云本身移动。发现点云的表观速度与点的速度成比例变化,并且通过计算跨刺激帧的最近邻匹配所得到的平均速度能够很好地预测。第二个实验探讨了局部速度是在所有速度范围内还是在固定速度范围内进行组合以检测全局运动。使用以1.2度/秒的低速或9.6度/秒的高速沿径向或旋转方向移动的全局点运动(GDM)刺激来测量检测结构化运动的阈值,该阈值是添加到刺激中的噪声点速度(0度/秒 - 10.8度/秒)的函数。对于低速目标,只有以低速移动的额外噪声点会干扰信号检测。高速目标仅受到高速移动的点的干扰。这一发现证实了在所测试的速度范围内至少存在两个独立的速度调谐系统。实验3研究了速度信号在一个系统内是如何组合以确定全局速度的。使用扇形径向GDM刺激,测量最快点的感知速度作为交替扇区中的点的速度是激活高速系统还是低速系统的函数。只有当点都在高速系统的灵敏度范围内时才会进行平均,然而,如果交替扇区激活了单独的速度系统,则不会进行平均。因此,局部速度会独立于方向进行平均,以得出全局速度估计,但平均仅在速度调谐机制内发生,而不是跨速度调谐机制发生。