Retinal Connectomics: A Review

IF 5 2区 医学 Q1 NEUROSCIENCES Annual Review of Vision Science Pub Date : 2024-09-18 DOI:10.1146/annurev-vision-102122-110414
Crystal L. Sigulinsky, Rebecca L. Pfeiffer, Bryan William Jones
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Abstract

The retina is an ideal model for understanding the fundamental rules for how neural networks are constructed. The compact neural networks of the retina perform all of the initial processing of visual information before transmission to higher visual centers in the brain. The field of retinal connectomics uses high-resolution electron microscopy datasets to map the intricate organization of these networks and further our understanding of how these computations are performed by revealing the fundamental topologies and allowable networks behind retinal computations. In this article, we review some of the notable advances that retinal connectomics has provided in our understanding of the specific cells and the organization of their connectivities within the retina, as well as how these are shaped in development and break down in disease. Using these anatomical maps to inform modeling has been, and will continue to be, instrumental in understanding how the retina processes visual signals.
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视网膜连接组学:综述
视网膜是了解神经网络构建基本规律的理想模型。视网膜上紧凑的神经网络在将视觉信息传输到大脑的高级视觉中枢之前,完成了视觉信息的所有初始处理过程。视网膜连接组学领域使用高分辨率电子显微镜数据集来绘制这些网络的复杂组织结构图,并通过揭示视网膜计算背后的基本拓扑结构和允许的网络,进一步加深我们对这些计算如何进行的理解。在这篇文章中,我们将回顾视网膜连接组学在了解视网膜内特定细胞及其连接组织方面取得的一些显著进展,以及这些细胞在发育过程中是如何形成的,在疾病中又是如何分解的。利用这些解剖图为建模提供信息已经并将继续在了解视网膜如何处理视觉信号方面发挥重要作用。
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来源期刊
Annual Review of Vision Science
Annual Review of Vision Science Medicine-Ophthalmology
CiteScore
11.10
自引率
1.70%
发文量
19
期刊介绍: The Annual Review of Vision Science reviews progress in the visual sciences, a cross-cutting set of disciplines which intersect psychology, neuroscience, computer science, cell biology and genetics, and clinical medicine. The journal covers a broad range of topics and techniques, including optics, retina, central visual processing, visual perception, eye movements, visual development, vision models, computer vision, and the mechanisms of visual disease, dysfunction, and sight restoration. The study of vision is central to progress in many areas of science, and this new journal will explore and expose the connections that link it to biology, behavior, computation, engineering, and medicine.
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