Mestre D R, Masson G S, Stone L S
Centre de Recherche en Neurosciences Cognitives, Centre National de la Recherche Scientifique, CNRS UPR 9012, 31 Chemin Joseph Aiguier, 13402 cedex 20, Marseille, France.
Vision Res. 2001 Sep;41(21):2697-713. doi: 10.1016/s0042-6989(01)00162-6.
For the accurate perception of multiple, potentially overlapping, surfaces or objects, the visual system must distinguish different local motion vectors and selectively integrate similar motion vectors over space to segment the retinal image properly. We recently showed that large differences in speed are required to yield a percept of motion transparency. In the present study, to investigate the spatial scale of motion segmentation from speed cues alone, we measured the speed-segmentation threshold (the minimum speed difference required for 75% performance accuracy) for 'corrugated' random-dot patterns, i.e. patterns in which dots with two different speeds were alternately placed in adjacent bars of variable width. In a first experiment, we found that, at large bar widths, a smaller speed difference was required to segment and perceive the corrugated pattern of moving dots, while at small bar-widths, a larger speed difference was required to segment the two speeds and perceive two transparent surfaces of moving dots. Both the perceptual and segmentation performance transitions occurred at a bar width of around 0.4 degrees. In a second experiment, speed-segmentation thresholds were found to increase sharply when dots with different speeds were paired within a local pooling area. The critical pairing distance was about 0.2 degrees in the fovea and increased linearly with stimulus eccentricity. However, across the range of eccentricities tested (up to 15 degrees ), the critical pairing distance did not change much and remained close to the receptive field size of neurons within the primate primary visual cortex. In a third experiment, increasing dot density changed the relationship between speed-segmentation thresholds and bar width. Thresholds decreased for large bar widths, but increased for small bar widths. All of these results are well fit by a simple stochastic model, which estimates the probabilities of having identical or different motion vectors within a local pooling area whose size is the same as that of primate V1 neurons. Altogether, these results demonstrate that speed-based segmentation can function well, even at small spatial scales (i.e. high-spatial frequencies of spatial corrugation) and thereby emphasizes the critical role of a local pooling process early in the cortical motion-processing pathway.
为了准确感知多个可能重叠的表面或物体,视觉系统必须区分不同的局部运动矢量,并在空间上选择性地整合相似的运动矢量,以便正确分割视网膜图像。我们最近发现,产生运动透明度的感知需要速度上的巨大差异。在本研究中,为了仅从速度线索来研究运动分割的空间尺度,我们测量了“波纹状”随机点图案的速度分割阈值(达到75%性能准确率所需的最小速度差),即两种不同速度的点交替放置在宽度可变的相邻条带中的图案。在第一个实验中,我们发现,在条带宽度较大时,分割并感知移动点的波纹状图案所需的速度差较小,而在条带宽度较小时,分割两种速度并感知移动点的两个透明表面则需要较大的速度差。感知和分割性能的转变都发生在条带宽度约为0.4度时。在第二个实验中,当不同速度的点在局部汇聚区域内配对时,速度分割阈值急剧增加。中央凹处的临界配对距离约为0.2度,并随刺激离心率呈线性增加。然而,在所测试的离心率范围内(高达15度),临界配对距离变化不大,并且与灵长类动物初级视觉皮层内神经元的感受野大小接近。在第三个实验中,增加点密度改变了速度分割阈值与条带宽度之间的关系。对于较大的条带宽度,阈值降低,但对于较小的条带宽度,阈值增加。所有这些结果都能很好地用一个简单的随机模型来拟合,该模型估计在大小与灵长类动物V1神经元相同的局部汇聚区域内具有相同或不同运动矢量的概率。总之,这些结果表明,基于速度的分割即使在小空间尺度(即空间波纹的高空间频率)下也能很好地发挥作用,从而强调了皮层运动处理通路早期局部汇聚过程的关键作用。