ITS - Matlab Tool for the computation of Information Dynamics
This general toolbox collects the research developed by our group in the last few years in the context of Information Dynamics,
implements the practical estimation of several information-theoretic
quantities (Self Entropy, Transfer Entropy in its different
formulations, measures of Information Modification) according to a
variety of entropy estimators (linear parametric estimator and model-free estimators based on binning, kernels,
or nearest neighbors).
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The ITS Matlab tool will become the basic applicative reference for the book "Information Theory for Time Series Analysis", currently under drafting, and is based on several papers:
- L Faes, A Porta, 'Conditional entropy-based evaluation of information dynamics in physiological systems', in Directed Information Measures in Neuroscience, R Vicente, M Wibral, J Lizier (eds), Springer-Verlag; 2014, pp. 61-86
- L Faes, A Porta, G Nollo, 'Information decomposition in bivariate systems: theory and application to cardiorespiratory dynamics', Entropy, special issue on “Entropy and Cardiac Physics”, 2015, 17:277-303.
- L Faes, A Porta, G Nollo, M
Javorka, 'Information decomposition in multivariate systems:
definitions, implementation and application to cardiovascular
networks', Entropy, special issue on Multivariate entropy measures and
their applications, 2017, 19(1), 5
- L Faes, D Kugiumtzis, A Montalto, G Nollo, D Marinazzo, 'Estimating the decomposition of predictive information in multivariate systems', Phys. Rev. E 2015; 91:032904 (16 pages)
- W Xiong, L Faes, P Ch
Ivanov, 'Entropy measures, entropy estimators and their performance in
quantifying complex dynamics: effects of artifacts, nonstationarity and
long-range correlations', Phys. Rev. E, 2017; 95:062114 (37 pages).
- L Faes, D Marinazzo, G Nollo, A Porta 'An information-theoretic
framework to map the spatio-temporal dynamics of the scalp
electroencephalogram', IEEE Trans. Biomed. Eng., special issue on Brain
Connectivity, 2016; 63(12):2488-2496.
- L Faes, D Marinazzo, A Montalto, G Nollo, 'Lag-specific transfer entropy as a tool to assess cardiovascular and cardiorespiratory information transfer', IEEE Trans Biomed Eng 2014; 61(10):2556-2568.
- L Faes, G Nollo, A Porta: 'Non-uniform multivariate embedding to assess the information transfer in cardiovascular and cardiorespiratory variability series', Comput Biol Med 2012; 42:290-297.
- L Faes, G Nollo, A Porta: 'Information-based detection of nonlinear Granger causality in multivariate processes via a nonuniform embedding technique', Phys Rev E; 2011; 83(5 Pt 1):051112.
- L Faes, G Nollo, A Porta: 'Compensated transfer entropy as a tool for reliably estimating information transfer in physiological time series', Entropy; special issue on “Transfer Entropy”, 2013; 15(1):198-219.
- A Montalto, L Faes, D. Marinazzo, 'MuTE: a MATLAB toolbox to compare established and novel estimators of the multivariate transfer entropy', PLOS ONE 2014; 9(10):e109462 (13 pages).
- L Faes, D Marinazzo, F Jurysta, G Nollo, 'Linear and nonlinear analysis of brain-heart and brain-brain interactions during sleep', Phys. Meas. 2015; 36:683-698.
- L Faes, G Nollo, F Jurysta, D Marinazzo, 'Information dynamics of brain-heart physiological networks during sleep', New J Phys 2014; 16:105005 (20 pages).
- L Faes, A Porta, G Rossato, A Adami, D Tonon, A Corica, G Nollo: 'Investigating the mechanisms of cardiovascular and cerebrovascular regulation in orthostatic syncope through an information decomposition strategy', Autonomic Neurosci 2013; 178:76-82.
- L Faes, G Nollo, A Porta: 'Mechanisms of causal interaction between short-term heart period and arterial pressure oscillations during orthostatic challenge', J Appl Physiol 2013;114:1657-1667.