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A finite rate of innovation algorithm for fast and accurate spike detection from two-photon calcium imaging

机译:用于双光子钙成像的快速准确的峰值检测的有限创新算法

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摘要

ObjectiveInferring the times of sequences of action potentials (APs) (spike trains) from neurophysiological data is a key problem in computational neuroscience. The detection of APs from two-photon imaging of calcium signals offers certain advantages over traditional electrophysiological approaches, as up to thousands of spatially and immunohistochemically defined neurons can be recorded simultaneously. However, due to noise, dye buffering and the limited sampling rates in common microscopy configurations, accurate detection of APs from calcium time series has proved to be a difficult problem.
机译:目的从神经生理学数据推断动作电位(AP)(尖峰序列)的时间是计算神经科学中的关键问题。与传统的电生理方法相比,通过双光子钙信号成像检测AP具有某些优势,因为可以同时记录数千个空间和免疫组织化学定义的神经元。但是,由于噪声,染料缓冲作用和普通显微镜配置中有限的采样率,从钙时间序列中准确检测AP已被证明是一个难题。

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