MuTE: a freeware, modular toolbox to evaluate Multivariate Transfer Entropy and Artificial Neural Networks Granger causality.
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1
Ghent University, Data Analysis Department, Belgium
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2
University of Trento, BIOtech, Dept. of Industrial Engineering, Italy
A challenge for physiologists and neuroscientists is to map information transfer between components of the systems that they study at different scales, in order to derive important knowledge on structure and function from the analysis of the recorded dynamics. We propose a freeware MATLAB toolbox, MuTE (Multivariate Transfer Entropy), that implements four both Granger causality and transfer entropy estimators according to uniform and non-uniform embedding frameworks. The resulting eight methods can be easily compared showing all the pros and cons of the methodologies used to detect the directed dynamical information transfers. The toolbox provides a completely brand-new approach that bridges machine learning and information theory fields. MuTE is also able to perform bivariate and fully multivariate analyses. Furthermore, users can easily implement their own methods or change some features of the already existing approaches due to the modularity of the toolbox.
Keywords:
Granger causality,
transfer entropy,
Non-uniform embedding,
multivariate analysis,
artificial neural networks,
Toolbox,
MATLAB,
Model-free approach,
Data-driven approach
Conference:
Second Belgian Neuroinformatics Congress, Leuven, Belgium, 4 Dec - 4 Dec, 2015.
Presentation Type:
Poster Presentation
Topic:
Methods and Modeling
Citation:
Montalto
A,
Faes
L and
Marinazzo
D
(2015). MuTE: a freeware, modular toolbox to evaluate Multivariate Transfer Entropy and Artificial Neural Networks Granger causality..
Front. Neuroinform.
Conference Abstract:
Second Belgian Neuroinformatics Congress.
doi: 10.3389/conf.fninf.2015.19.00035
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Received:
09 Oct 2015;
Published Online:
17 Nov 2015.
*
Correspondence:
MD, PhD. Alessandro Montalto, Ghent University, Data Analysis Department, Gent, Belgium, montalto.alessandro@gmail.com