Statistical analysis and decoding of neural activity in the rodent geniculate ganglion using a metric-based inference system.
Statistical analysis and decoding of neural activity in the rodent geniculate ganglion using a metric-based inference system.
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DOI：
10.1371/journal.pone.0065439
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发表时间：
2013
期刊：
影响因子：
3.7
通讯作者：
Contreras RJ
中科院分区：
文献类型：
--
作者：
Wu W;Mast TG;Ziembko C;Breza JM;Contreras RJ
我们分析了啮齿动物外周味觉系统中的两种神经元--钠专家(NS)和酸性通才(AG)--对氯化钠、冰醋酸以及这两种刺激的混合刺激的放电模式。以前的计算研究发现，尖峰频率和尖峰时间对味道质量编码都有贡献。这些研究使用了普遍接受的计算方法，但它们没有提供对棘波序列的一致统计评估。在本文中，我们采用了一种新的计算框架，将每个脉冲序列作为单独的数据点来计算脉冲序列空间中的均值和方差等汇总统计量。我们发现，这些统计总结正确地描述了放电模式(例如，模板和可变性)，并量化了NS和AG神经元之间的差异。同样的框架也被用来评估NS和AG神经元的辨别能力，并从棘波反应中去除自发的背景活动或“噪音”。结果表明，新的度量系统提供了理想的解码性能，去噪提高了刺激分类的准确率，特别是对自发频率较高的神经元。综上所述，这种新的方法自然地在一个一致的框架下进行统计分析和神经解码，结果表明，单个外周味觉神经元在感觉刺激时产生独特而可靠的放电模式，并且该模式可以可靠地解码。
We analyzed the spike discharge patterns of two types of neurons in the rodent peripheral gustatory system, Na specialists (NS) and acid generalists (AG) to lingual stimulation with NaCl, acetic acid, and mixtures of the two stimuli. Previous computational investigations found that both spike rate and spike timing contribute to taste quality coding. These studies used commonly accepted computational methods, but they do not provide a consistent statistical evaluation of spike trains. In this paper, we adopted a new computational framework that treated each spike train as an individual data point for computing summary statistics such as mean and variance in the spike train space. We found that these statistical summaries properly characterized the firing patterns (e. g. template and variability) and quantified the differences between NS and AG neurons. The same framework was also used to assess the discrimination performance of NS and AG neurons and to remove spontaneous background activity or “noise” from the spike train responses. The results indicated that the new metric system provided the desired decoding performance and noise-removal improved stimulus classification accuracy, especially of neurons with high spontaneous rates. In summary, this new method naturally conducts statistical analysis and neural decoding under one consistent framework, and the results demonstrated that individual peripheral-gustatory neurons generate a unique and reliable firing pattern during sensory stimulation and that this pattern can be reliably decoded.
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影响因子：
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