BSMART: A MATLAB/C toolbox for analysis of multichannel neural time series

被引：137

作者：

Cui, Jie ^{[1
]}

Xu, Lei ^{[1
]}

Bressler, Steven L. ^{[2
]}

Ding, Mingzhou ^{[3
]}

Liang, Hualou ^{[1
]}

机构：

[1] Univ Texas Hlth Sci Ctr Houston, Sch Hlth Informat Sci, Houston, TX 77030 USA

[2] Florida Atlantic Univ, Ctr Complex Syst & Brain Sci, Boca Raton, FL 33431 USA

[3] Univ Florida, Dept Biomed Engn, Gainesville, FL 32611 USA

来源：

NEURAL NETWORKS | 2008年 / 21卷 / 08期

基金：

加拿大自然科学与工程研究理事会;

关键词：

Open source toolbox; Neural time series; Multivariate signal analysis; Network analysis; Granger causality spectrum;

D O I：

10.1016/j.neunet.2008.05.007

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We have developed a MATLAB/C toolbox, Brain-SMART (System for Multivariate AutoRegressive Time series, or BSMART), for spectral analysis of continuous neural time series data recorded simultaneously from multiple sensors. Available functions include time series data importing/exporting, preprocessing (normalization and trend removal), AutoRegressive (AR) modeling (multivariate/bivariate model estimation and validation), spectral quantity estimation (auto power, coherence and Granger causality spectra), network analysis (including coherence and causality networks) and visualization (including data, power, coherence and causality views). The tools for investigating causal network structures in respect of frequency bands are unique functions provided by this toolbox. All functionality has been integrated into a simple and user-friendly graphical user interface (GUI) environment designed for easy accessibility. Although we have tested the toolbox only on Windows and Linux operating systems, BSMART itself is system independent. This toolbox is freely available (http://www.brain-smart.org) under the GNU public license for open source development. (C) 2008 Elsevier Ltd. All rights reserved.

引用

页码：1094 / 1104

页数：11

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