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A statistical method for correcting distortions of amplitude distribution histograms due to collisions of synaptic events.

机译:一种统计方法,用于校正由于突触事件的碰撞而引起的振幅分布直方图的失真。

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摘要

The waveform of spontaneous synaptic potentials or currents comprising synaptic noise can be significantly distorted when these events are closely spaced due to a high frequency activity in the presynaptic inputs that generate them. It is essential to correct these alterations prior to measurements of overlapping miniature and/or postsynaptic potentials, in order to provide reliable information about their true amplitude distributions, and to avoid spurious peaks in the resulting histograms. In this paper we describe a statistical method for making these corrections, its range of application, and its theoretical background. Its use becomes necessary when the frequency of events is of the order of 8-50 Hz, depending upon their time to peak, which ranges from 6 to 1 ms in most synaptic potentials recorded in the central nervous system.
机译:当这些事件紧密间隔时,由于产生它们的突触前输入中的高频活动,自发的突触电位或包含突触噪声的电流的波形可能会严重失真。必须在测量重叠的微型和/或突触后电位之前校正这些改变,以便提供有关其真实幅度分布的可靠信息,并避免在所得直方图中出现虚假峰值。在本文中,我们描述了一种进行这些校正的统计方法,其应用范围及其理论背景。当事件的频率大约为8-50 Hz(取决于其达到峰值的时间)时,有必要使用它,在中枢神经系统中记录的大多数突触电位中,其发生时间在6到1 ms之间。

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