Mather G, Tunley H
University of Sussex, Brighton, England.
Vision Res. 1995 Aug;35(15):2105-16. doi: 10.1016/0042-6989(94)00297-5.
In conventional presentations of random-dot kinematograms, two frames of random dots are presented in temporal sequence, separated by a blank inter-stimulus interval, and a coherent offset in spatial position is added to dots in one frame relative to dots in the other frame. Direction discrimination performance is limited temporally to inter-stimulus intervals below about 100 msec (Tmax). Experiments are described in which temporal smoothing was applied to the onset and offset of each frame in the kinematogram. Tmax was found to increase in proportion with the time constant of the temporal smoothing function. An explanation based on contrast-dependent responses in simple motion detectors cannot accommodate the results. Instead, the increase in Tmax with temporal smoothing, and analogous increase in spatial limit (Dmax) with spatial blurring, can be related to the spatiotemporal frequency content of the stimulus. Random-dot kinematograms can be viewed as continuously drifting patterns that have been discretely sampled at regular spatiotemporal intervals. Sampling introduces artefacts (alias signals), which become more intrusive as sampling rate declines (i.e. inter-stimulus interval or spatial displacement increases) and consequently limit discrimination performance. Temporal smoothing or spatial blurring extends performance because it removes alias signals generated by high spatiotemporal frequencies in the pattern. Computational modelling to estimate the Fourier energy available in random-dot kinematograms confirmed that the sampling account can predict the proportional increase in Tmax and Dmax limits as filter time or space constant increases.
在随机点运动图的传统呈现方式中,两帧随机点按时间顺序呈现,中间由空白的刺激间隔隔开,并且相对于另一帧中的点,在一帧中的点添加了空间位置上的连贯偏移。方向辨别性能在时间上局限于低于约100毫秒的刺激间隔(Tmax)。本文描述了一些实验,其中对运动图中每一帧的起始和结束进行了时间平滑处理。发现Tmax与时间平滑函数的时间常数成比例增加。基于简单运动探测器中对比度依赖性反应的解释无法适应这些结果。相反,Tmax随时间平滑的增加以及空间极限(Dmax)随空间模糊的类似增加,可能与刺激的时空频率内容有关。随机点运动图可以看作是在规则的时空间隔上进行离散采样的连续漂移模式。采样会引入伪像(混叠信号),随着采样率下降(即刺激间隔或空间位移增加),这些伪像会变得更加干扰,从而限制辨别性能。时间平滑或空间模糊扩展了性能,因为它去除了模式中高时空频率产生的混叠信号。用于估计随机点运动图中可用傅里叶能量的计算模型证实,采样理论可以预测随着滤波器时间或空间常数增加,Tmax和Dmax极限的成比例增加。