Bayesian Correction for Attenuation of Correlation in Multi-Trial Spike Count Data
Bayesian Correction for Attenuation of Correlation in Multi-Trial Spike Count Data
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DOI：
10.1152/jn.90727.2008
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发表时间：
2009-04-01
影响因子：
2.5
通讯作者：
Kass, Robert E.
中科院分区：
文献类型：
--
作者：
Behseta, Sam;Berdyyeva, Tamara;Kass, Robert E.
首页--期刊主要分类--期刊细介绍--期刊题录与期刊详细文摘内容贝叶斯校正对多次试验峰计数数据中相关性衰减的影响。神经生理学杂志101：2186-2193,2009。2009年1月7日首次出版；DOI：10.1152/jn.90727.2008。当在存在噪声的情况下测量相关性时，其值减小。例如，在单神经元记录实验中，可以跨神经元评估一对任务中选择性指数的相关性，但由于试验次数有限，每个神经元的测量指标值将是噪声的。这削弱了这种相关性。100多年前，斯皮尔曼提出了对这种衰减的修正，最近的工作表明，如何构建可信区间来补充修正。在本文中，我们提出了一种替代的贝叶斯校正方法。一项模拟研究表明，这种方法在校正精度和由此产生的可信区间的覆盖率方面都远远优于Spearman的方法。我们通过将这项技术应用于一组从猕猴额叶皮质获得的数据来证明这项技术的有效性，这些数据是在执行连续顺序和可变奖励眼跳任务时获得的。在那里，校正导致两个任务中神经元之间的相关性大幅增加。
Behseta S, Berdyyeva T, Olson CR, Kass RE. Bayesian correction for attenuation of correlation in multi-trial spike count data. J Neurophysiol 101: 2186-2193, 2009. First published January 7, 2009; doi:10.1152/jn.90727.2008. When correlation is measured in the presence of noise, its value is decreased. In single-neuron recording experiments, for example, the correlation of selectivity indices in a pair of tasks may be assessed across neurons, but, because the number of trials is limited, the measured index values for each neuron will be noisy. This attenuates the correlation. A correction for such attenuation was proposed by Spearman more than 100 yr ago, and more recent work has shown how confidence intervals may be constructed to supplement the correction. In this paper, we propose an alternative Bayesian correction. A simulation study shows that this approach can be far superior to Spearman's, both in accuracy of the correction and in coverage of the resulting confidence intervals. We demonstrate the usefulness of this technology by applying it to a set of data obtained from the frontal cortex of a macaque monkey while performing serial order and variable reward saccade tasks. There the correction results in a substantial increase in the correlation across neurons in the two tasks.