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Independent component analysis of optical recordings from the seasloug tritonia

机译:鲈鱼特里尼亚光学录制的独立分量分析

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Independent component analysis (ICA) was used to separate action potential trains recorded with voltage-sensitive dyes in the isolated brain preparation of the sealsium Tritonia. It was assumed that the mebrane potential of each neuron was an approximately independent source and the detectors (photodiodes) recorded linear mixtures of sources. These assumptions appear to be resonable as ICA outperformed existing methos for separating spike trains in optical recording data. Spike trains, artifiacts, and noise were assigned to different output channels (indepenent components). The ICA analysis method was also less labor intensive than other methods.
机译:独立的分量分析(ICA)用于分离在Seathstronia的分离的脑制剂中用电压敏感染料记录的动作潜在列车。假设每个神经元的兆内电位是近似独立的源极和探测器(光电二极管)记录的源的线性混合物。这些假设似乎可作为ICA优于在光学记录数据中分离尖峰列车的现有Methos。分配给不同的输出通道(违防组件)的尖峰列车,Artifiagics和噪声。 ICA分析方法也少于其他方法少于其他方法。

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