Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 1094-1104 |
| Number of pages | 11 |
| Journal | Neural Networks |
| Volume | 21 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 5 Jun 2008 |
| Externally published | Yes |
Keywords
- Granger causality spectrum
- Multivariate signal analysis
- Network analysis
- Neural time series
- Open source toolbox
ASJC Scopus subject areas
- Cognitive Neuroscience
- Artificial Intelligence