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Application of Digital Image Analysis Methods for Quantifying Spatiotemporal Neural Dynamics from Planar Microelectrode Arrays

机译:数字图像分析方法在平面微电极阵列中量化时空神经动力学的应用

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Recent developments in the ability to measure neural activity including surface and penetrating microelectrode arrays have allowed for higher-resolution and higher-dimension measurements of neural activity. With the development of this technology also arises the need for analytical methods to enable interpretation of these measurements in the context of underlying neural dynamics and processes. In this paper, we examine the application of methods such as current source density (CSD), histogram correlation, and radial profile analysis for quantifying the spatiotemporal characteristics of neural dynamics in both simulated and recorded local field potential (LFP) data.
机译:测量包括表面和穿透微电极阵列的神经活动能力的最新发展已经允许较高分辨率和神经活动的更高尺寸测量。 随着该技术的发展,还需要对分析方法的需求能够在潜在的神经动力学和过程的背景下能够解释这些测量。 在本文中,我们研究了诸如电流源密度(CSD),直方图相关性和径向轮廓分析的方法的应用,以定量模拟和记录的本地场势(LFP)数据中神经动力学的时空特征。

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