Architectures of neuronal circuits

被引:131
|
作者
Luo, Liqun [1 ,2 ]
机构
[1] Stanford Univ, Dept Biol, Stanford, CA 94305 USA
[2] Stanford Univ, Howard Hughes Med Inst, Stanford, CA 94305 USA
基金
美国国家科学基金会; 美国国家卫生研究院;
关键词
NERVOUS-SYSTEM; MOSAIC ANALYSIS; PATTERN; SINGLE; EXPRESSION; EVOLUTION; NETWORKS; TASTE; ORGANIZATION; INTERNEURONS;
D O I
10.1126/science.abg7285
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Although individual neurons are the basic unit of the nervous system, they process information by working together in neuronal circuits with specific patterns of synaptic connectivity. Here, I review common circuit motifs and architectural plans used in diverse brain regions and animal species. I also consider how these circuit architectures assemble during development and might have evolved. Understanding how specific patterns of synaptic connectivity can implement specific neural computations will help to bridge the huge gap between the biology of the individual neuron and the function of the entire brain, allow us to better understand the neural basis of behavior, and may inspire new advances in artificial intelligence.
引用
收藏
页码:1103 / +
页数:10
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