open-source code for na-memd causal decomposition  (MathWorks Inc)

Journal: Frontiers in Neuroinformatics

Article Title: Matlab Open Source Code: Noise-Assisted Multivariate Empirical Mode Decomposition Based Causal Decomposition for Causality Inference of Bivariate Time Series

doi: 10.3389/fninf.2022.851645

Figure Lengend Snippet: Basic workflow for NA-MEMD Causal Decomposition.

Article Snippet: YZ, GW, and ZL found the potential utility of the theoretical framework of NA-MEMD Causal Decomposition in function connectivity, signal detection and processing, Statistical Causality, implemented Matlab open-source code for NA-MEMD Causal Decomposition, tested the efficiency, robustness, validity of the code, carried out the results and discussions, and drafted and revised the manuscript.

Techniques:

Journal: Frontiers in Neuroinformatics

Article Title: Matlab Open Source Code: Noise-Assisted Multivariate Empirical Mode Decomposition Based Causal Decomposition for Causality Inference of Bivariate Time Series

doi: 10.3389/fninf.2022.851645

Figure Lengend Snippet: The workflow of function causal _ decomposition .

Article Snippet: YZ, GW, and ZL found the potential utility of the theoretical framework of NA-MEMD Causal Decomposition in function connectivity, signal detection and processing, Statistical Causality, implemented Matlab open-source code for NA-MEMD Causal Decomposition, tested the efficiency, robustness, validity of the code, carried out the results and discussions, and drafted and revised the manuscript.

Techniques:

Journal: Frontiers in Neuroinformatics

Article Title: Matlab Open Source Code: Noise-Assisted Multivariate Empirical Mode Decomposition Based Causal Decomposition for Causality Inference of Bivariate Time Series

doi: 10.3389/fninf.2022.851645

Figure Lengend Snippet: Parameter configurations for function causal _ decomposition .

Article Snippet: YZ, GW, and ZL found the potential utility of the theoretical framework of NA-MEMD Causal Decomposition in function connectivity, signal detection and processing, Statistical Causality, implemented Matlab open-source code for NA-MEMD Causal Decomposition, tested the efficiency, robustness, validity of the code, carried out the results and discussions, and drafted and revised the manuscript.

Techniques: Immunocytochemistry

Journal: Frontiers in Neuroinformatics

Article Title: Matlab Open Source Code: Noise-Assisted Multivariate Empirical Mode Decomposition Based Causal Decomposition for Causality Inference of Bivariate Time Series

doi: 10.3389/fninf.2022.851645

Figure Lengend Snippet: Basic workflow for NA-MEMD Causal Decomposition.

Article Snippet: The study provides Matlab Open Source Code of NA-MEMD Causal Decomposition and helps scholars and researchers (particularly in function connectivity Mueller et al., ; Meshi et al., , signal detection and processing Abbate et al., ; Song and Que, , and Statistical Causality Cox, ; Cox and Wermuth, ) to determine the causality occurring at stochastic, deterministic and complex dynamical (nonlinear deterministic) processes on the basis of time series (Small, ).

Techniques:

Journal: Frontiers in Neuroinformatics

Article Title: Matlab Open Source Code: Noise-Assisted Multivariate Empirical Mode Decomposition Based Causal Decomposition for Causality Inference of Bivariate Time Series

doi: 10.3389/fninf.2022.851645

Figure Lengend Snippet: The workflow of function causal _ decomposition .

Article Snippet: The study provides Matlab Open Source Code of NA-MEMD Causal Decomposition and helps scholars and researchers (particularly in function connectivity Mueller et al., ; Meshi et al., , signal detection and processing Abbate et al., ; Song and Que, , and Statistical Causality Cox, ; Cox and Wermuth, ) to determine the causality occurring at stochastic, deterministic and complex dynamical (nonlinear deterministic) processes on the basis of time series (Small, ).

Techniques:

Journal: Frontiers in Neuroinformatics

Article Title: Matlab Open Source Code: Noise-Assisted Multivariate Empirical Mode Decomposition Based Causal Decomposition for Causality Inference of Bivariate Time Series

doi: 10.3389/fninf.2022.851645

Figure Lengend Snippet: Parameter configurations for function causal _ decomposition .

Article Snippet: The study provides Matlab Open Source Code of NA-MEMD Causal Decomposition and helps scholars and researchers (particularly in function connectivity Mueller et al., ; Meshi et al., , signal detection and processing Abbate et al., ; Song and Que, , and Statistical Causality Cox, ; Cox and Wermuth, ) to determine the causality occurring at stochastic, deterministic and complex dynamical (nonlinear deterministic) processes on the basis of time series (Small, ).

Techniques: Immunocytochemistry