Neuronal convergence in early contrast vision: binocular summation is followed by response nonlinearity and area summation.

Neuronal convergence in early contrast vision: binocular summation is followed by response nonlinearity and area summation.
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DOI:
10.1167/9.4.7
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发表时间:
2009-04-06
期刊:
影响因子:
1.8
通讯作者:
Summers RJ
Summers RJ
中科院分区:
医学4区
文献类型:
--
作者:
Meese TS;Summers RJ

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我们评估了检测阈值(Ct)时双眼和区域的对比度总和。刺激为正弦波光栅(2.5 c/deg),通过余弦和反余弦相位凸起格子(0.5 c/deg组件以±45°取向)进行空间调制。当提出dichoptically的信号区域交叉的眼睛,但产生一个光滑的连续光栅后,其线性双目总和。该刺激对的平均总和比(Ct 1/([Ct 1 +2]))为1.64(4.3 dB)。这仅略小于呈现给双眼的相同贴片类型的双眼总和,以及呈现给同一只眼睛的两种不同贴片类型的面积总和。我们考虑了192个模型架构,其中包含以下四个元素中的每一个:(i)眼睛上的线性求和或MAX运算符,(ii)区域上的线性求和或MAX运算符,(iii)线性或加速对比度转导,以及(iv)加性高斯随机噪声。形式上的等同将其减少到62种不同的型号。最成功的四元素模型是:线性总和眼睛其次是非线性对比度转导,线性总和面积,和后期噪声。模型的性能得到增强时,额外的非线性放置在双目总和和面积总和后。概率求和和不确定性模型的影响进行了讨论。
We assessed summation of contrast across eyes and area at detection threshold (Ct). Stimuli were sine-wave gratings (2.5 c/deg) spatially modulated by cosine- and anticosine-phase raised plaids (0.5 c/deg components oriented at ±45°). When presented dichoptically the signal regions were interdigitated across eyes but produced a smooth continuous grating following their linear binocular sum. The average summation ratio (Ct1/([Ct1+2]) for this stimulus pair was 1.64 (4.3 dB). This was only slightly less than the binocular summation found for the same patch type presented to both eyes, and the area summation found for the two different patch types presented to the same eye. We considered 192 model architectures containing each of the following four elements in all possible orders: (i) linear summation or a MAX operator across eyes, (ii) linear summation or a MAX operator across area, (iii) linear or accelerating contrast transduction, and (iv) additive Gaussian, stochastic noise. Formal equivalences reduced this to 62 different models. The most successful four-element model was: linear summation across eyes followed by nonlinear contrast transduction, linear summation across area, and late noise. Model performance was enhanced when additional nonlinearities were placed before binocular summation and after area summation. The implications for models of probability summation and uncertainty are discussed.
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