A finite rate of innovation algorithm for fast and accurate spike detection from two-photon calcium imaging.
A finite rate of innovation algorithm for fast and accurate spike detection from two-photon calcium imaging.
复制标题
从两光子钙成像中快速准确检测的创新算法的有限速率。
DOI：
10.1088/1741-2560/10/4/046017
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发表时间：
2013-08
影响因子：
4
通讯作者：
Dragotti PL
中科院分区：
文献类型：
--
作者：
Oñativia J;Schultz SR;Dragotti PL
从神经生理学数据中推断动作电位序列（spike trains）的时间是计算神经科学的一个关键问题。从钙信号的双光子成像中检测AP提供了优于传统电生理方法的某些优势，因为可以同时记录多达数千个空间和电化学定义的神经元。然而，由于噪声，染料缓冲和有限的采样率在常见的显微镜配置，准确检测AP钙时间序列已被证明是一个困难的问题。在这里，我们介绍了一种新的方法来解决这个问题，利用有限创新率（FRI）理论（IEEE trans. Signal Process。50 1417-28）。对于钙瞬变拟合一个单一的指数，问题是减少到重建一个流的衰减指数。由具有不同起始时间的指数衰减函数的组合构成的信号是FRI信号的子类，信号处理界最近已经开发了许多理论。我们证明了第一次使用FRI理论来检索钙瞬态时间序列的AP的时间。最后的算法是快速，非迭代和并行化。尖峰推断可以针对神经元群体实时执行，并且不需要任何训练阶段或学习来初始化参数。该算法已被测试与真实的数据（获得同时电生理和多光子成像的钙信号在小脑浦肯野细胞树突），和替代数据，并优于最近提出的几种方法的尖峰列车推断钙成像数据。
Inferring 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. Here we introduce a novel approach to the problem making use of finite rate of innovation (FRI) theory ( IEEE Trans. Signal Process. 50 1417–28). For calcium transients well fit by a single exponential, the problem is reduced to reconstructing a stream of decaying exponentials. Signals made of a combination of exponentially decaying functions with different onset times are a subclass of FRI signals, for which much theory has recently been developed by the signal processing community. We demonstrate for the first time the use of FRI theory to retrieve the timing of APs from calcium transient time series. The final algorithm is fast, non-iterative and parallelizable. Spike inference can be performed in real-time for a population of neurons and does not require any training phase or learning to initialize parameters. The algorithm has been tested with both real data (obtained by simultaneous electrophysiology and multiphoton imaging of calcium signals in cerebellar Purkinje cell dendrites), and surrogate data, and outperforms several recently proposed methods for spike train inference from calcium imaging data.
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影响因子：
2.5
作者：
Sadovsky, Alexander J.;Kruskal, Peter B.;MacLean, Jason N.
通讯作者：
MacLean, Jason N.
影响因子：
3.9
作者：
Pologruto, Thomas A.;Sabatini, Bernardo L.;Svoboda, Karel
通讯作者：
Svoboda, Karel
影响因子：
2.5
作者：
Csicsvari, J;Henze, DA;Buzsáki, G
通讯作者：
Buzsáki, G
影响因子：
2.5
作者：
Ozden, Ilker;Lee, H. Megan;Wang, Samuel S. -H.
通讯作者：
Wang, Samuel S. -H.
DOI：
10.1109/29.1488
发表时间：
1988-01-01
期刊：
IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING
影响因子：
--
作者：
CADZOW, JA
通讯作者：
CADZOW, JA