TRENTOOL: a Matlab open source toolbox to analyse information flow in time series data with transfer entropy.

TRENTOOL: a Matlab open source toolbox to analyse information flow in time series data with transfer entropy.
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DOI:
10.1186/1471-2202-12-119
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发表时间:
2011-11-18
期刊:
影响因子:
2.4
通讯作者:
Wibral M
Wibral M
中科院分区:
医学4区
文献类型:
--
作者:
Lindner M;Vicente R;Priesemann V;Wibral M

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传递熵(TE)是用于检测定向相互作用的度量。传递熵是维纳观测因果原理的信息论实现。它提供了一种检测神经元相互作用的方法,而不需要明确的相互作用模型。因此,它提供了分析线性和非线性相互作用的能力。例如,这允许在不同的描述级别上对神经网络中的定向交互进行全面分析。在这里,我们介绍了开源的MatLab工具箱TRENTOOL,它允许用户处理这一测量的相当复杂的问题,并使用非参数统计检验来验证所获得的结果。我们演示了工具箱的使用和算法在非线性(二次)耦合的模拟数据上的性能,以及在可能存在神经元单向连接的情况下从海龟的视网膜和视顶盖记录的局部场电位(LFP)。在模拟数据中,TE可靠地检测到模拟方向上的信息流,错误阳性不超过零假设下的预期比率。在LFP数据中,我们发现从视网膜到顶盖的直接相互作用,尽管这些阶段之间存在复杂的信号转换。未检测到反向假阳性相互作用。TRENTOOL是传递熵和互信息分析的实现,旨在支持用户应用这一信息论措施。TRENTOOL是作为一个MATLAB工具箱实现的,并且在开放源码许可(GPLv3)下可用。对于神经数据的使用,TRENTOOL与流行的实地考察工具箱无缝集成。
Transfer entropy (TE) is a measure for the detection of directed interactions. Transfer entropy is an information theoretic implementation of Wiener's principle of observational causality. It offers an approach to the detection of neuronal interactions that is free of an explicit model of the interactions. Hence, it offers the power to analyze linear and nonlinear interactions alike. This allows for example the comprehensive analysis of directed interactions in neural networks at various levels of description. Here we present the open-source MATLAB toolbox TRENTOOL that allows the user to handle the considerable complexity of this measure and to validate the obtained results using non-parametrical statistical testing. We demonstrate the use of the toolbox and the performance of the algorithm on simulated data with nonlinear (quadratic) coupling and on local field potentials (LFP) recorded from the retina and the optic tectum of the turtle (Pseudemys scripta elegans) where a neuronal one-way connection is likely present. In simulated data TE detected information flow in the simulated direction reliably with false positives not exceeding the rates expected under the null hypothesis. In the LFP data we found directed interactions from the retina to the tectum, despite the complicated signal transformations between these stages. No false positive interactions in the reverse directions were detected. TRENTOOL is an implementation of transfer entropy and mutual information analysis that aims to support the user in the application of this information theoretic measure. TRENTOOL is implemented as a MATLAB toolbox and available under an open source license (GPL v3). For the use with neural data TRENTOOL seamlessly integrates with the popular FieldTrip toolbox.
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