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Multi-channel spike detection and sorting using an array processing technique

机译:使用阵列处理技术的多通道尖峰检测和分类

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In many brain regions, high levels of background activity can obscure action potentials of neurons close to a recording electrode, particularly in the presence of a stimulus. As recorded on a multi-channel electrode array, this neural noise appears to be highly correlated among the channels. We have developed an array processing technique to remove the correlated compon- ent of noise, improving the signal-to-noise ratio. In addition, we show that the weighting vector of the array algorithm can be manipulated to facilitate sorting of the action potentials. An example of the technique applied to the guinea pig cochlear nucleus is shown.
机译:在许多大脑区域中,高水平的背景活动会掩盖靠近记录电极的神经元的动作电位,特别是在存在刺激的情况下。如在多通道电极阵列上记录的那样,这种神经噪声似乎在通道之间高度相关。我们已经开发出一种阵列处理技术来消除噪声的相关成分,从而改善信噪比。此外,我们表明可以对数组算法的加权向量进行控制,以方便对动作电位进行排序。显示了应用于豚鼠耳蜗核的技术示例。

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