摘要
本文提出应用时间序列分析的方法来研究神经放电脉冲信号的特性。首先对神经放电脉冲间隔序列拟合自回归模型,然后求自回归模型的格林函数和功率谱密度函数。从而探求神经放电信号的某些规律性(如动态特性、记忆特性和周期性等等)。
The properties of neuronal spike train are studied with time series an-
alysis. The interspike interval (ISI ) sequence and its autoregressive (AR )
(Continped on page 110)(continued from page 127)
model are first established, and then the corresponding Green's founction
(GF ) and the power spectral density (FSD ) function are calculated. thus
revealing regularities of neuronal spike train, including characteristics
of dynamics, memory property and periodicity.
出处
《中国生物医学工程学报》
CAS
CSCD
北大核心
1989年第2期120-127,共8页
Chinese Journal of Biomedical Engineering
