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
Quantifying Redundancies and Synergies with Measures of Inequality
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
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