Roberts W M, Hartline D K
Brain Res. 1975 Aug 22;94(1):141-9. doi: 10.1016/0006-8993(75)90883-5.
We have applied a technique involving multi-channel linear filtering to the problem of sorting and identifying singly unit neuronal activity in records containing several simultaneously active units. The technique is effective even when the waveforms of two or more nerve impulses are superimposed. We have applied it successfully to data involving up to 6 units, and in theory it is applicable to substantially more. Current limitations are that the waveform of the impulse from each unit must first be determined by identifying and averaging several isolated examples, and that the number of recording electrodes must approximate the number of units present.
我们已将一种涉及多通道线性滤波的技术应用于对包含多个同时活跃单元的记录中的单个单元神经元活动进行分类和识别的问题。即使两个或更多神经冲动的波形相互叠加，该技术也很有效。我们已成功将其应用于包含多达6个单元的数据，并且理论上它可应用于更多单元。目前的限制是，每个单元的冲动波形必须首先通过识别和平均几个孤立的示例来确定，并且记录电极的数量必须接近存在的单元数量。
