文献类型：期刊文献

英文题名：Neural mechanism of visual information degradation from retina to V1 area

作者：Zhong, Haixin[1];Wang, Rubin[1]

机构：[1]East China Univ Sci & Technol, Inst Cognit Neurodynam, 130 Meilong Rd, Shanghai, Peoples R China

年份：2021

卷号：15

期号：2

起止页码：299

外文期刊名：COGNITIVE NEURODYNAMICS

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000534441700001)】；

基金：This study was funded by the National Natural Science Foundation of China (Nos. 11232005, 11472104, 11872180).

语种：英文

外文关键词：Visual nervous system; Visual information processing mechanism; Degradation mechanism; Edge features; Convolution algorithm

摘要：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.