Examples#
Illustration of the main functions.
Tutorials#
![](../_images/sphx_glr_plot_ml_vs_it_thumb.png)
Machine-learning vs. Information theoretic approaches for HOI
Machine-learning vs. Information theoretic approaches for HOI
Entropy and mutual information#
![](../_images/sphx_glr_tuto_core_thumb.png)
Introduction to core information theoretical metrics
Introduction to core information theoretical metrics
![](../_images/sphx_glr_plot_entropies_mvar_thumb.png)
Comparison of entropy estimators for a multivariate normal
Comparison of entropy estimators for a multivariate normal
![](../_images/sphx_glr_plot_entropies_thumb.png)
Comparison of entropy estimators for various distributions
Comparison of entropy estimators for various distributions
![](../_images/sphx_glr_plot_entropy_high_dimensional_thumb.png)
Comparison of entropy estimators with high-dimensional data
Comparison of entropy estimators with high-dimensional data
![](../_images/sphx_glr_plot_mi_high_dimensional_thumb.png)
Comparison of MI estimators with high-dimensional data
Comparison of MI estimators with high-dimensional data
Metrics of HOI#
![](../_images/sphx_glr_plot_oinfo_thumb.png)
O-information and its derivatives for network behavior and encoding
O-information and its derivatives for network behavior and encoding