神经元放电串中所含信息的编码理论和分析方法

Coding Theories and Analyzing Methods of Information Contained in Neuronal Spike Trains

神经系统内信息传递靠神经元接替完成：化学突触处的传递依靠神经递质，而神经纤维进行长距离信息传递则靠动作电位的传导。如何提取和分析神经元放电串中隐含的信息是神经科学、信息科学等多门学科的重要课题，但迄今尚缺乏理想的手段。本文简要介绍了主要的信息编码理论和分析方法的优越性和局限性，及其研究的进展。

Information transmission in the central nervous system relies on neurons working in relays. At chemical synapses information transmission is by means of neurotransmitters, whereas long distance transmission is carried out by action potentials conducting along nerve fibers. Hence how to pick up and analyze information contained in the spike trains are important topics of several branches of sciences such as neuroscience, bioinformatics, etc. So far there is lack of ideal ways and means. This review briefly introduces the advantages and limitations of the principal coding theories and analyzing methods of information contained in spike trains, and the progress in this field.