Computational model of visual information coding in the retina

我们建立了一个基于生理和解剖特征的锥体镶嵌计算模型。该模型考虑了三种视锥的光谱灵敏度，以及视锥的非均匀空间分布。为了再现非均匀性，采用随机算法生成圆锥镶嵌。目前的模型覆盖了一个60度的视角，有200万个锥体。该模型允许我们分析颜色信息是如何在锥形马赛克中被处理的。在模拟中，我们通过改变亚型锥比和/或光谱灵敏度产生了各种类型的锥体马赛克。我们分析了锥体马赛克如何限制我们推断视网膜图像中存在的空间和颜色信息处理的能力。我们还将模型扩展到包括神经节细胞，用于分析视网膜中的输入-输出关系。

We developed a computational model of the cone mosaic based on the physiological and anatomical characteristics. The present model incorporated the spectral sensitivities of three types of cones, as well as the nonuniform spatial distributions of cones. The cone mosaic was generated by a stochastic algorithm to reproduce the nonuniformity. The present model covers a visual angle of 60 degrees with 2,000,000 cones. The model allows us to analyze how color information is processed in the cone mosaic. In simulation, we produced various types of cone mosaics by changing the subtype cone ratio and/or the spectral sensitivities. We analyzed how the cone mosaic limits our ability to infer the spatial and color information processing present in the retinal image. We also extended the model to include the ganglion cells for analyzing the input-output relationships in the retina.