The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynamics from multivariate time series data using information theory.
-
Updated
Apr 26, 2024 - Python
The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynamics from multivariate time series data using information theory.
C++/Python Information theoretic analyses tools
A Python Package for the Analysis of Deep Neural Networks using Information Theory
Bertschinger-Rauh-Olbrich-Jost-Ay (BROJA) bivariate Partial Information Decomposition
Partial Information Decomposition (PID) analysis of activation functions for PIDeepnets (PID deep neural networks)
A non-negative Partial Information Decomposition
Modified simulation code for context-switching neuronal plasticity model (Agnes et al., 2020). Used to generate data for information-theoretic investigation of neuronal plasticity.
A non-negative Partial Information Decomposition
Add a description, image, and links to the partial-information-decomposition topic page so that developers can more easily learn about it.
To associate your repository with the partial-information-decomposition topic, visit your repo's landing page and select "manage topics."