Biological Laboratories, Harvard University, Cambridge.
J Gen Physiol. 1944 Jul 20;27(6):513-28. doi: 10.1085/jgp.27.6.513.
Flicker contours from vertebrates (fishes to man) show that the slope parameter sigma'(log I) in the efficiently descriptive probability summation 100 F/F(max.) = integral(-inf;) (log I)e(-(log I/I(i))(-(log I/I(i))2)/2(sigma')(/2(sigma')2) ) .d log I is distributed bimodally (simple fields, "white" light), from 0.60 to 2.3, with well defined peaks at 0.80 and 1.75. This parameter is independent of F(max.), log I(i), temperature, light-time fraction, and in general not greatly influenced by lambda. "Rod" components of known visually duplex contours, without exception, and some "cone" contours, are in the first group; an equal number of "cone" curves are in the second group, together with one simplex "rod" contour; purely cone contours are in each group, as well as cone segments of duplex curves. No firm zoological grouping of the "cone" curves can be made, on present evidence,-although the 5 fishes used give high-slope curves, 2 amphibians low slopes, reptiles (5) either high or low, birds (2) and anthropoids (2) low-slope "cone" curves. By subdivision of the visual image and by change of wave-length, under certain conditions, in man, and by use of the "pecten effect" in birds (and man), cone contours of the low-slope class can be transformed into curves of the high-slope group. These procedures do not fundamentally change the "rod" slopes. Consequently, although under simple conditions they are specifically determined, the forms of the F - log I contour cannot be used as diagnostic for rod or cone functioning. It is reinforced, by new data on Anolis (lizard) and Trionyx (turtle), that an obviously duplex retina is specifically correlated with a duplex performance contour, a simplex retina with a simplex one. But no support is given to the view that the shapes of these curves are diagnostic of differences in rod or cone fundamental excitabilities, or that they describe properties of these units. In visual duplexity we have to do simply with the fact that two groups of neural effects are available; it is with their properties that we deal in measurements of duplex visual excitability.
从脊椎动物(从鱼类到人类)的闪烁轮廓可以看出,在有效描述的概率总和 100 F/F(max.) = integral(-inf;) (log I)e(-(log I/I(i))(-(log I/I(i))2)/2(sigma')(/2(sigma')2) ) 中,斜率参数 sigma'(log I) 呈双峰分布(简单场,“白光”),范围从 0.60 到 2.3,在 0.80 和 1.75 处有明显的峰值。该参数与 F(max.)、log I(i)、温度、光时间分数无关,通常不受 lambda 的影响。已知视觉双工轮廓的“杆”成分无一例外地属于第一组,一些“锥”轮廓也属于第一组;同样数量的“锥”曲线属于第二组,与一个简单的“杆”轮廓一起;纯锥轮廓属于每组,以及双工曲线的锥段。根据目前的证据,无法对“锥”曲线进行明确的动物分类分组——尽管使用的 5 种鱼类给出了高斜率曲线,2 种两栖动物给出了低斜率曲线,爬行动物(5 种)既有高斜率也有低斜率,鸟类(2 种)和类人猿(2 种)则是低斜率“锥”曲线。通过人眼的视觉图像细分和波长变化,以及鸟类(和人)中的“齿状斑效应”,可以将低斜率类的锥轮廓转换为高斜率组的曲线。这些过程并没有从根本上改变“杆”斜率。因此,尽管在简单条件下它们是特定的,但 F-log I 轮廓的形式不能用作杆或锥功能的诊断。新的数据表明,Anolis(蜥蜴)和 Trionyx(海龟)具有明显的双工视网膜与双工性能轮廓相关,单工视网膜与单工轮廓相关,这一观点得到了加强。但是,没有证据表明这些曲线的形状是诊断杆或锥基本兴奋性差异的依据,也没有证据表明它们描述了这些单位的特性。在视觉双工性中,我们只需要处理这样一个事实,即有两组神经效应可用;我们在测量双工视觉兴奋性时,就是在处理这些效应的特性。