Wang H, Levi D M, Klein S A
College of Optometry, University of Houston, TX 77204-6052, USA.
Vision Res. 1996 Mar;36(5):717-39. doi: 10.1016/0042-6989(95)00143-3.
A spatial perturbation paradigm was used to determine equivalent intrinsic uncertainty and spatial integration efficiency in bisection. Specifically, three-line bisection thresholds were measured in the fovea of four normal observers with stimulus lines comprised of discrete dark dots distributed randomly around the mean line position according to a Gaussian function. The standard deviation of the Gaussian distribution (sigma e), the number (N), and the strength (C) of the dots as well as line separation were varied. Bisection thresholds were modeled by an ideal integrator, from which the magnitude of equivalent internal uncertainty (sigma i), the equivalent effective number of dots (k), and equivalent integration efficiency (k/N) were quantified. At the 2 min arc separation, sigma i decreases (down to a few sec arc) as N and/or C increases. The effects of both N and C can be accounted for by the stimulus visibility (V, in multiples of detection threshold). At the 16 min arc separation, sigma i is independent of N, C, or V, and is about 1 min arc. The two different forms of sigma i indicate that bisection judgments are limited by at least two separate sources of limiting noise, consistent with the hypothesis of two separate mechanisms (i.e. spatial filters and local signs). A visibility dependent sigma i at the 2 min arc separation can be explained on the basis of contrast sensitive spatial filter mechanisms. A fixed sigma i at the 16 min arc separation indicates a genuine positional uncertainty, consistent with local-sign mechanisms. Interestingly, equivalent integration efficiency (k/N) is very similar at the two line separations. k/N is critically dependent on, and proportional to C, indicating a common limitation in a detection mechanism.
采用空间微扰范式来确定平分任务中的等效内在不确定性和空间整合效率。具体而言,在四名正常观察者的中央凹处测量三线平分阈值,刺激线由根据高斯函数围绕平均线位置随机分布的离散暗点组成。改变高斯分布的标准差(sigma e)、点的数量(N)、强度(C)以及线间距。用理想积分器对平分阈值进行建模,由此量化等效内部不确定性(sigma i)的大小、等效有效点数(k)和等效整合效率(k/N)。在2分视角间距下,随着N和/或C增加,sigma i减小(降至几秒视角)。N和C的影响都可以用刺激可见度(V,以检测阈值的倍数表示)来解释。在16分视角间距下,sigma i与N、C或V无关,约为1分视角。sigma i的这两种不同形式表明,平分判断至少受到两种独立的极限噪声源的限制,这与两种独立机制(即空间滤波器和局部标记)的假设一致。在2分视角间距下与可见度相关的sigma i可以基于对比敏感的空间滤波器机制来解释。在16分视角间距下固定的sigma i表明存在真正的位置不确定性,这与局部标记机制一致。有趣的是,在两种线间距下等效整合效率(k/N)非常相似。k/N严重依赖于C并与C成正比,表明检测机制存在共同的局限性。