This repository hosts the code and resources associated with the recently accepted paper titled "Characterizing the spike timing of a chaotic laser by using ordinal analysis and machine learning."

This supplemental material provides the code implementation used in the study for ECG signal classification.

We use ordinal analysis to distinguish between eyes-open and eyes-closed resting brain states. To do so, we analyze EEG data recorded with 64 electrodes from 109 healthy subjects, under two one-min…

Neural network that has been trained to detect temporal correlation and distinguish chaotic from stochastic signals