Spectral representation-analyzing single-unit activity in extracellularly recorded neuronal data without spike sorting
Spectral representation-analyzing single-unit activity in extracellularly recorded neuronal data without spike sorting
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DOI：
10.1016/j.jneumeth.2004.10.009
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发表时间：
2005-05-15
影响因子：
3
通讯作者：
Narayanan, NS
中科院分区：
文献类型：
--
作者：
Luczak, A;Narayanan, NS
细胞外记录的神经元数据的常规分析的一个步骤是尖峰分选，其将电信号分离成来自不同神经元的动作电位。由于尖峰排序涉及人类的判断，它可能是主观的和时间密集的，特别是对于大量的神经元。在这里，我们提出了一个简单的，自动化的方法来构建神经元活动的替代表示，称为频谱表示（SR）。在这种方法中，神经元尖峰被映射到尖峰波形特征和时间的离散空间。频谱表示使我们能够找到单单位刺激相关的神经元活动的变化，而无需尖峰排序。我们测试的能力，这种方法来预测刺激使用模拟数据和实验数据从麻醉绒猴的听觉映射研究。我们发现，我们的方法产生更准确的分类刺激比尖峰排序数据的模拟和实验条件。此外，这种方法本身的细胞外记录的神经元系综的自动化分析。此外，我们建议的方式，这些表示可以很容易地扩展，以协助尖峰排序和评价单神经元周围刺激时间直方图。© 2004 Elsevier B.V.保留所有权利。
One step in the conventional analysis of extracellularly recorded neuronal data is spike sorting, which separates electrical signal into action potentials from different neurons. Because spike sorting involves human judgment, it can be subjective and time intensive, particularly for large sets of neurons. Here we propose a simple, automated way to construct alternative representations of neuronal activity, called spectral representation (SR). In this approach, neuronal spikes are mapped to a discrete space of spike waveform features and time. Spectral representation enables us to find single-unit stimulus-related changes in neuronal activity without spike sorting. We tested the ability of this method to predict stimuli using both simulated data and experimental data from an auditory mapping study in anesthetized marmoset monkeys. We find that our approach produces more accurate classification of stimuli than spike-sorted data for both simulated and experimental conditions. Furthermore, this method lends itself to automated analysis of extracellularly recorded neuronal ensembles. Additionally, we suggest ways in which these representations can be readily extended to assist in spike sorting and the evaluation of single-neuron peri-stimulus time histograms. © 2004 Elsevier B.V. All rights reserved.