The idea is based on developing an indicator that measures "dynamical coupling".
From the abstract:
. Here we introduce a novel time-series- based and non-perturbative approach to efficiently monitor dynamical resistance and apply it to high- resolution observations of brain activities from 43 subjects with uncontrollable epileptic seizures. We gain surprising insights into pre-seizure dynamical resistance of brains that also provide important clues for success or failure of measures for seizure prevention. The novel resistance monitoring perspective advances our understanding of precursor dynamics in complex spatio-temporal systems with potential applications in refining control strategies.
The paper does not share code, but I've met Klaus (last author) personally a couple of times and maybe I could ask him to ask his student whether they are willing to share the code.
Indicator summary
The idea is based on developing an indicator that measures "dynamical coupling".
From the abstract:
Reference
http://dx.doi.org/10.1038/s41598-018-38372-y
Codebase
The paper does not share code, but I've met Klaus (last author) personally a couple of times and maybe I could ask him to ask his student whether they are willing to share the code.