Statistical method for detection of firing rate changes in spontaneously active neurons

被引：15

作者：

Blejec, A ^{[1
]}

机构：

[1] Natl Inst Biol, Dept Entomol, SI-1000 Ljubljana, Slovenia

来源：

NEUROCOMPUTING | 2005年 / 65卷

关键词：

spike train analysis; cumulative distribution function; firing rate; spontaneous activity; olfaction;

D O I：

10.1016/j.neucom.2004.10.103

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 [模式识别与智能系统]; 0812 [计算机科学与技术]; 0835 [软件工程]; 1405 [智能科学与技术];

摘要：

We present a simple statistical method for detection and identification of firing rate changes in spontaneously active neurons. Spontaneously active neurons (such as olfactory neurons) can be, in response to stimulation, either excited or suppressed and thus increase or decrease the spike firing rate. The described method is based on the detection of changes in slope of cumulative spike time distribution and efficiently detects excitations and suppressions. Using the simulated spike trains we examined the method's power in relation to response strength and duration. (c) 2004 Published by Elsevier B.V.

引用

页码：557 / 563

页数：7

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