OPTIMAL DISCRIMINATION AND CLASSIFICATION OF NEURONAL ACTION-POTENTIAL WAVE-FORMS FROM MULTIUNIT, MULTICHANNEL RECORDINGS USING SOFTWARE-BASED LINEAR FILTERS
OPTIMAL DISCRIMINATION AND CLASSIFICATION OF NEURONAL ACTION-POTENTIAL WAVE-FORMS FROM MULTIUNIT, MULTICHANNEL RECORDINGS USING SOFTWARE-BASED LINEAR FILTERS
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DOI：
10.1109/10.284964
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发表时间：
1994-04-01
影响因子：
4.6
通讯作者：
MILLER, JP
中科院分区：
文献类型：
--
作者：
GOZANI, SN;MILLER, JP
我们描述了在多通道电生理记录中识别和分类神经元尖峰波形的先进协议。这些程序能够从多个同时活跃的神经元中检测和分类尖峰，即使在记录通道上有高度尖峰波形叠加的情况下也是如此。该协议基于对每个单独神经元的最优线性滤波器的推导。每个滤波器被调谐以选择性地响应相应神经元产生的尖峰波形，并衰减来自所有其他神经元的噪声和尖峰波形。该协议本质上是早期工作[1]，[13]，[18]的扩展。然而，这些协议在两个重要方面扩展了原始实现的功能和实用性。首先，推导并实现了一种通用的单遍自动模板估计算法。其次，过滤器是在软件环境中实现的，提供了大大增强的功能组织和用户界面。分析方法的效用在蟋蟀腹神经索的多单元电生理记录样本上得到了证明。
We describe advanced protocols for the discrimination and classification of neuronal spike waveforms within multichannel electrophysiological recordings. The programs are capable of detecting and classifying the spikes from multiple, simultaneously active neurons, even in situations where there is a high degree of spike waveform superposition on the recording channels. The protocols are based on the derivation of an optimal linear filter for each individual neuron. Each filter is tuned to selectively respond to the spike waveform generated by the corresponding neuron, and to attenuate noise and the spike waveforms from all other neurons. The protocol is essentially an extension of earlier work [1], [13], [18]. However, the protocols extend the power and utility of the original implementations in two significant respects. First, a general single-pass automatic template estimation algorithm was derived and implemented. Second, the filters were implemented within a software environment providing a greatly enhanced functional organization and user interface. The utility of the analysis approach was demonstrated on samples of multiunit electrophysiological recordings from the cricket abdominal nerve cord,