Neural mechanism of visual information degradation from retina to V1 area

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.

Automated summary

The information processing mechanism of the visual nervous system is a long-standing unresolved scientific problem, with visual information degrading significantly from retina to V1. However, this degradation does not affect our visual perception of the outside world. Through experimental data analysis, the study revealed that the neural mechanisms underlying the information degradation involve the extraction of image edge features using a convolution algorithm during hierarchical visual signal processing from low-level to high-level. This compensatory mechanism embodies the principles of energy minimization and transmission efficiency maximization of brain activity.