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一种动态连续估计中枢神经系统中单纤维终末兴奋性变化的方法。

A method for the dynamic continuous estimation of excitability changes of single fiber terminals in the central nervous system.

作者信息

Madrid J, Alvarado J, Dutton H, Rudomín P

出版信息

Neurosci Lett. 1979 Mar;11(3):253-8. doi: 10.1016/0304-3940(79)90003-x.

DOI:10.1016/0304-3940(79)90003-x
PMID:514537
Abstract

A method is presented allowing direct and continuous estimation of the excitability changes of single fiber terminal arborizations within the central nervous system. In essence, the method measures the current required to maintain a preset antidromic firing probability of the unit under study. This implies operation in a closed loop system controlled by a computer. With this technique one can accurately determine input-output curves of single units requiring relatively small current variations (0.15-2.1 microA) to change from zero to maximal probability of response. The method also allows measurement of the excitability changes produced by conditioning volleys to sensory nerves.

摘要

本文介绍了一种能够直接且连续估计中枢神经系统内单纤维终末分支兴奋性变化的方法。实质上,该方法测量维持所研究单位预设逆向发放概率所需的电流。这意味着要在由计算机控制的闭环系统中进行操作。利用这种技术,可以准确确定单单位的输入 - 输出曲线,这些单单位从零反应概率变为最大反应概率时需要相对较小的电流变化(0.15 - 2.1微安)。该方法还允许测量由对感觉神经的条件性刺激串所产生的兴奋性变化。

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