ArticleCognitive neurodynamics2021
Neural mechanism of visual information degradation from retina to V1 area.
Article in Cognitive neurodynamics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Visual cortex speckle imaging for shape recognition.Scientific reports · 2025Article
- [Study on the regulatory effect of low intensity retinal ultrasound stimulation on the neural activity of visual cortex].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024Article
- A spatial transformation-based CAN model for information integration within grid cell modules.Cognitive neurodynamics · 2024Article
- Modeling the grid cell activity based on cognitive space transformation.Cognitive neurodynamics · 2024Article
- Visual surround suppression at the neural and perceptual levels.Cognitive neurodynamics · 2024Review
- Learning parallel and hierarchical mechanisms for edge detection.Frontiers in neuroscience · 2023Article
- Article
- Biophysical mechanism of the interaction between default mode network and working memory network.Cognitive neurodynamics · 2021Article
- A potential method for sex estimation of human skeletons using deep learning and three-dimensional surface scanning.International journal of legal medicine · 2021Article
- The Generation and Modulation of Distinct Gamma Oscillations with Local, Horizontal, and Feedback Connections in the Primary Visual Cortex: A Model Study on Large-Scale Networks.Neural plasticity · 2021Article
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2 authors.
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Abstract
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.
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