Extraction of the average and differential dynamical response in stimulus-locked experimental data
Extraction of the average and differential dynamical response in stimulus-locked experimental data
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DOI：
10.1016/j.jneumeth.2004.06.012
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发表时间：
2005-02-15
影响因子：
3
通讯作者：
Sirovich, L
中科院分区：
文献类型：
--
作者：
Somborger, A;Yokoo, T;Sirovich, L
在初级视皮层的光学成像实验中，视觉刺激引起了复杂的动力学过程。通常，任何具有足够对比度的刺激都会引起反应。无论呈现哪种刺激，大部分反应都是相同的。例如，当定向漂移光栅呈现给视觉系统时，超过90%的响应在不同定向之间是相同的。然而，在对不同方向的反应之间可以看到微小的差异。在皮层组织中对刺激的响应的光学测量的分析中的一个问题是“全局”或“非特异性”响应与“差分”或“刺激特异性”响应的区别。每当感兴趣的信号是响应于各种刺激的差异时，这个问题就会出现，并且在许多种单变量和多变量data.To为此，我们提出了一种基于频率的方法的增强，我们以前介绍的称为周期性叠加方法。这些增强功能使我们能够分别估计所有刺激的平均信号（“全局”响应）和响应于一组刺激而诱发的各种刺激（“刺激特异性”响应）之间的平均值的偏差。我们还讨论了改进的信号噪声比，相对于标准的试验平均方法，在我们的方法中的数据自适应平滑的结果。(C)2004 Elsevier B.V.保留所有权利。
In optical imaging experiments of primary visual cortex, visual stimuli evoke a complicated dynamics. Typically, any stimulus with sufficient contrast evokes a response. Much of the response is the same regardless of which stimulus is presented. For instance, when oriented drifting gratings are presented to the visual system, over 90% of the response is the same from orientation to orientation. Small differences may be seen, however, between the responses to different orientations. A problem in the analysis of optical measurements of the response to stimulus in cortical tissue is the distinction of the 'global' or 'non-specific' response from the 'differential' or 'stimulus-specific' response. This problem arises whenever the signal of interest is the difference in response to various stimuli and is evident in many kinds of uni- and multivariate data.To this end, we present enhancements to a frequency-based method that we previously introduced called the periodic stacking method. These enhancements allow us to separately estimate the dynamics of both the average signal across all stimuli (the 'global' response) and deviations from the average amongst the various stimuli (the 'stimulus-specific' response) evoked in response to a set of stimuli. We also discuss improvements in the signal-to-noise ratio, relative to standard trial averaging methods, that result from the data-adaptive smoothing in our method.(C) 2004 Elsevier B.V. All rights reserved.