My implementation of Symbolic Transfer Entropy -- a method of estimating transfer entropy which was proposed in
Matthaus Staniek and Klaus Lehnertz 2008
In the order of which they were used:
- coupled_lorenz.m
- integrates coupled lorenz systems and stores time series data in lorenz_data/ (too big; not included in repository)
- each saved file corresponds to one simulation (i.e. one initial condition)
- each pair of columns corresponds to one coupling parameter
- odd columns correspond to driver (x), even columns correspond to response (y)
- coupled_rossler.m
- same as coupled_lorenz.m but with rossler systems
- symbolic_TE.py
- my implementation of Symbolic Transfer Entropy (STE)
- TE_test.py
- computes STE for lorenz system and rossler system
- stores entropies in lorenz_entropies.csv and rossler_entropies.csv
- TE_plot.py
- recreates figures from paper
- resulting figures are saved in figs/