摘要
秀丽隐杆线虫具有结构简单、易于开展实验、组成与人类神经系统类似的特点,在复杂神经功能与神经系统疾病相关研究中具有重要地位,因而成为了第一个被完全测定连接组,即全体神经连接的生物。本研究关注以复杂网络为出发点的秀丽隐杆线虫神经网络的研究工作,归纳总结了该领域的研究进展。介绍了秀丽隐杆线虫的研究背景,并从静态、时变、动力学这3种研究性质出发,分别进行概述与分析讨论,并说明了相关研究成果的实际应用情况,最后探讨了线虫神经系统性质研究方面可能存在的问题,为下一步研究提供思路。
Caenorhabditis elegans(C.elegans)with simple structures,easiness of being experimented with and a similar formation to human neural system plays an important role in researches on complex neural functions and nervous system associated diseases,and thus becomes the first biological specie which has a completed and comprehensive map of neural connections.The study focuses on the recent researches of C.elegans neural network based on complex network,and summarizes its research advances.After introducing C.elegans research background,the properties of the neural system in C.elegans are overviewed and analyzed from the aspects of static,time-varying and dynamic properties,and then the practical applications of the obtained research results are reviewed.Finally,several potential problems existing in the study of the nervous system in C.elegans are discussed,thereby providing some ideas for the further research.
作者
陆言
龚晓亮
谢非
钱晖
庞路
吴统琦
LU Yan;GONG Xiaoliang;XIE Fei;QIAN Hui;PANG Lu;WU Tongqi(School of Electronic and Information Engineering,Tongji University,Shanghai 200092,China)
出处
《中国医学物理学杂志》
CSCD
2022年第11期1431-1440,共10页
Chinese Journal of Medical Physics
基金
上海市国际合作项目(19490712800)
同济大学思政课题(4250107074/025)
同济大学实验教改项目(0800104294)
同济大学国创项目(0800107900)。
关键词
秀丽隐杆线虫
生物神经网络
复杂网络
连接组
信息论
Caenorhabditis elegans
biological neural network
complex network
connectome
information theory
