olavolav / te-causality
Generalized Transfer Entropy analysis for model-free network reconstruction.
☆30Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for te-causality
- Highly Comparative Graph Analysis - Code for network phenotyping☆44Updated 5 months ago
- A package to compute and test the significance of linear dependence between multiple autocorrelated time series.☆17Updated 2 years ago
- Code for "Reconstruction of plant--pollinator networks from observational data"☆18Updated 2 years ago
- Open-Source MATLAB toolbox for transfer entropy estimation☆59Updated 7 years ago
- ☆10Updated 7 years ago
- Information Theoretic Tools for Python☆90Updated 5 years ago
- Python wrapper for TISEAN☆30Updated 7 years ago
- Python module for computing Symbolic Mutual Information and symbolic Transfer of Entropy☆14Updated 6 years ago
- Partial Entropy Decomposition and Partial Information Decomposition with pointwise surprisal measures☆41Updated 11 months ago
- Comparative analysis of pairwise interactions in multivariate time series.☆13Updated last year
- Bayesian mixed-effects modeling of fMRI data in Python☆39Updated 3 years ago
- Code to evaluate nonlinear Granger causality using the kernel trick to reduce complexity☆34Updated last year
- Matlab pipeline for simulating dynamical networks and evaluating dynamic community tracking methods, including CPM, MMM and DPPM☆14Updated 4 years ago
- evaluate Granger Causality at multiple scales with the State Space formulation☆12Updated 2 years ago
- Automated dynamical systems inference☆38Updated last year
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆48Updated 6 years ago
- Matlab and Python scripts for calculating functional coupling between time series data☆15Updated 5 years ago
- Code associated with the paper 'Higher-order structure of multivariate time series' (https://www.nature.com/articles/s41567-022-01852-0)☆39Updated last month
- Functions for calculating mutual information and other information theoretic quantities using a parametric Gaussian copula.☆81Updated 4 years ago
- Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)☆17Updated 11 months ago
- ☆11Updated 6 years ago
- Pythonic implementation of the Phase Transfer Entropy method using NumPy and SciPy☆23Updated 3 weeks ago
- Conditional probability, conditional entropy, and mutual information estimation in Python. https://arxiv.org/abs/1907.00325☆12Updated 4 years ago
- code for Cunningham and Ghahramani (2015), Journal of Machine Learning Research☆25Updated 8 years ago
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆16Updated 7 years ago
- Dimensionality reduction of spikes trains☆48Updated 3 years ago
- LaTex code for creating my CV☆11Updated 5 years ago
- The Brain Dynamics Toolbox☆33Updated 4 years ago
- A Python module for detecting, analysing and visualising persistent homological features of complex networks☆29Updated 3 years ago
- MATLAB and Python code for analyses and modelling human ephys data☆13Updated last year