EEG time series are analyzed using the diffusion entropy method. The resulting EEG entropy manifests short-time scaling, asymptotic saturation and an attenuated alpha-rhythm modulation. These properties are faithfully modeled by a phenomenological Langevin equation interpreted within a neural network context.
@article{arxiv.0903.1078,
title = {The Dynamics of EEG Entropy},
author = {M. Ignaccolo and M. Latka and W. Jernajczyk and P. Grigolini and B. J. West},
journal= {arXiv preprint arXiv:0903.1078},
year = {2009}
}