The information processing mechanism of the visual nervous system is an unresolved scientific problem that has long puzzled neuroscientists. The amount of visual information is significantly degraded when it reaches the V1 after entering the retina; nevertheless, this does not affect our visual perception of the outside world. Currently, the mechanisms of visual information degradation from retina to V1 are still unclear. For this purpose, the current study used the experimental data summarized by Marcus E. Raichle to investigate the neural mechanisms underlying the degradation of the large amount of data from topological mapping from retina to V1, drawing on the photoreceptor model first. The obtained results showed that the image edge features of visual information were extracted by the convolution algorithm with respect to the function of synaptic plasticity when visual signals were hierarchically processed from low-level to high-level. The visual processing was characterized by the visual information degradation, and this compensatory mechanism embodied the principles of energy minimization and transmission efficiency maximization of brain activity, which matched the experimental data summarized by Marcus E. Raichle. Our results further the understanding of the information processing mechanism of the visual nervous system.

视觉神经系统的信息处理机制是一个长期困扰神经科学家的悬而未决的科学问题。进入视网膜后到达V1时视觉信息量明显下降；尽管如此，这并不影响我们对外界的视觉感知。目前，视觉信息从视网膜退化到V1的机制仍不清楚。为此，本研究利用 Marcus E. Raichle 总结的实验数据，首先利用感光器模型，研究从视网膜拓扑映射到 V1 的大量数据退化的神经机制。所得结果表明，当视觉信号从低级到高级进行分层处理时，针对突触可塑性函数的卷积算法提取了视觉信息的图像边缘特征。视觉处理的特点是视觉信息退化，这种补偿机制体现了大脑活动能量最小化和传输效率最大化的原则，与Marcus E. Raichle总结的实验数据相吻合。我们的研究结果进一步加深了对视觉神经系统信息处理机制的理解。而这种补偿机制体现了大脑活动能量最小化和传输效率最大化的原则，与Marcus E. Raichle总结的实验数据相吻合。我们的研究结果进一步加深了对视觉神经系统信息处理机制的理解。而这种补偿机制体现了大脑活动能量最小化和传输效率最大化的原则，与Marcus E. Raichle总结的实验数据相吻合。我们的研究结果进一步加深了对视觉神经系统信息处理机制的理解。