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fdIID-toolbox
Matlab Tool for a frequency-specific quantification of higher-order measures for the study of complex systems. In particular, to assess the presence of redundacy or synergy in a network of interacting processes, the interaction information decomposition is provided in the frequency domain and related to the time domain through Block-Coherence estimator.PID-LASSO-toolbox
Matlab Tool for the computation of Partial Information Decomposition and conditional Granger Causality based on LASSO parametric IdentificationANN-GC-Toolbox
Matlab Tool for the computation of conditional and uncondititional Granger Causality based on the combination of state-space models and Artificial neural networksS-MVAR
Matlab Tool for the identification procedure of Multivariate Autoregressive models with different penalized regression techniquesTime-VaryingIS
This Matlab toolbox allows the study of the behavior of a complex system by introducing a new approach capable of tracking changes in the information stored in the system over time. This can be achieved through the recursive least squares (RLS) algorithm and Yule-Walker equations, assuming Gaussianity.SIR_toolbox
The SIR Matlab Toolbox performs computation of time and frequency domain information measures of entropy rate (ER), mutual information rate (MIR) and O-Information rate (OIR), exploiting both parametric and non-parametric estimation of the power spectral density of (blocks of) interacting stochastic processes.OIR-toolbox
MatLab Tool for parametric computation of high-order interactions. The framework allows the computation of time and frequency domain High-Order interactions with specific applications in Brain Dynamics and Physiological Networks. For a complete description see: http://www.lucafaes.net/OIR.htmlLove Open Source and this site? Check out how you can help us