Foley John M, Varadharajan Srinivasa, Koh Chin C, Farias Mylene C Q
Department of Psychology, University of California, Santa Barbara, CA 93106, USA.
Vision Res. 2007 Jan;47(1):85-107. doi: 10.1016/j.visres.2006.09.005. Epub 2006 Oct 31.
Contrast thresholds of vertical Gabor patterns were measured as a function of their eccentricity, size, shape, and phase using a 2AFC method. The patterns were 4 c/deg and they were presented for 90 or 240 ms. Log thresholds increase linearly with eccentricity at a mean rate of 0.47 dB/wavelength. For patterns centered on the fovea, thresholds decrease as the area of the pattern increases over the entire standard deviation range of 12 wavelengths. The TvA functions are concave up on log-log coordinates. For small patterns there is an interaction between shape and size that depends on phase. Threshold contrast energy is a U-shaped function of area with a minimum in the vicinity of 0.4 wavelength indicating detection by small receptive fields. Observers can discriminate among patterns of different sizes when the patterns are at threshold indicating that more than one mechanism is involved. The results are accounted for by a model in which patterns excite an array of slightly elongated receptive fields that are identical except that their sensitivity decreases exponentially with eccentricity. Excitation is raised to a power and then summed linearly across receptive fields to determine the threshold. The results are equally well described by an internal-noise-limited model. The TvA functions are insufficient to separately estimate the noise and the exponent of the power function. However, an experiment that shows that mixing sizes within the trial sequence has no effect on thresholds, suggests that the limiting noise does not increase with the number of mechanisms monitored.
使用二选一迫选法,测量垂直方向的伽柏(Gabor)图案的对比度阈值,该阈值是图案的离心率、大小、形状和相位的函数。图案的空间频率为4周/度,呈现时间为90或240毫秒。对数阈值随离心率呈线性增加,平均速率为0.47分贝/波长。对于以中央凹为中心的图案,在整个12个波长的标准差范围内,随着图案面积的增加,阈值降低。在对数-对数坐标上,TvA函数是上凹的。对于小图案,形状和大小之间存在依赖于相位的相互作用。阈值对比度能量是面积的U形函数,在0.4波长附近有最小值,表明由小感受野进行检测。当图案处于阈值时,观察者能够区分不同大小的图案,这表明涉及不止一种机制。这些结果可以用一个模型来解释,在该模型中,图案激发一系列略微拉长的感受野阵列,这些感受野除了其敏感度随离心率呈指数下降外是相同的。激发被提升到一个幂次,然后在感受野之间进行线性求和以确定阈值。内部噪声限制模型同样能很好地描述这些结果。TvA函数不足以分别估计噪声和幂函数的指数。然而,一项实验表明,在试验序列中混合大小对阈值没有影响,这表明极限噪声不会随着所监测机制的数量增加而增加。