神经科学
视网膜
生物
电池类型
集合(抽象数据类型)
视神经
神经节
巨大视网膜神经节细胞
视网膜
视网膜神经节细胞
视网膜神经节细胞
计算机科学
细胞
生物化学
遗传学
程序设计语言
作者
Joshua R. Sanes,Richard H. Masland
出处
期刊:Annual Review of Neuroscience
[Annual Reviews]
日期:2015-04-21
卷期号:38 (1): 221-246
被引量:748
标识
DOI:10.1146/annurev-neuro-071714-034120
摘要
In the retina, photoreceptors pass visual information to interneurons, which process it and pass it to retinal ganglion cells (RGCs). Axons of RGCs then travel through the optic nerve, telling the rest of the brain all it will ever know about the visual world. Research over the past several decades has made clear that most RGCs are not merely light detectors, but rather feature detectors, which send a diverse set of parallel, highly processed images of the world on to higher centers. Here, we review progress in classification of RGCs by physiological, morphological, and molecular criteria, making a particular effort to distinguish those cell types that are definitive from those for which information is partial. We focus on the mouse, in which molecular and genetic methods are most advanced. We argue that there are around 30 RGC types and that we can now account for well over half of all RGCs. We also use RGCs to examine the general problem of neuronal classification, arguing that insights and methods from the retina can guide the classification enterprise in other brain regions.
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