%0 Journal Article
%T CALCULATING THE DEGREE OF COMPLEXITY OF INTERSPIKE INTERVAL WITH THE METHOD OF APPROXIMATE ENTROPY<br>用近似熵测量神经放电峰峰间期的复杂性
%A HAN Sheng
%A DUAN Yu-bin
%A JIAN Zhong
%A XIE Yong
%A XING Jun-ling
%A HU San-jue
%A <br>韩晟
%A 段玉斌
%A 菅忠
%A 谢勇
%A 邢俊玲
%A 胡三觉
%J 生物物理学报
%D 2002
%I 
%X Approximate entropy(ApEn) can be used to measuring the degree of complexity of signal. In order to study the degree of complexity of Interspike Interval (ISI), the ISI data of injured nerve, supraoptic nucleus,DRG neurons were calculated and Rose-Hindmarsh model was analyzed with the method of defermination of ApEn. It was found that ApEn can reflect the degree of complexity of ISI data in every model.
%K Neuron
%K Interspike
%K interval
%K Degree
%K of
%K complexity
%K Approximate
%K entropy<br>神经元
%K 动作电位峰峰间期
%K 复杂性
%K 近似熵
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=90BA3D13E7F3BC869AC96FB3DA594E3FE34FBF7B8BC0E591&jid=E0C9D9BBED813D6674AC13E942EAC86D&aid=9A9C7F20ED882CA2&yid=C3ACC247184A22C1&vid=13553B2D12F347E8&iid=E158A972A605785F&sid=A6683C8C0EB9BCA7&eid=9B95A71E6639C039&journal_id=1000-6737&journal_name=生物物理学报&referenced_num=2&reference_num=7