Local periodic perturbations induce frequency-dependent propagation waves in an excitable spatio-temporally chaotic system. We show how segments of noise-contaminated and chaotic perturbations induce characteristic sequences of excitations in the model system. Using a set of tuned excitable systems, it is possible to characterize signals by their spectral composition of excitation pattern. As an example we analyze an epileptic spike-and-wave time series.
@article{arxiv.nlin/0312036,
title = {The Nonlinear Dynamic Conversion of Analog Signals into Excitation Patterns},
author = {Gerold Baier and Markus Muller},
journal= {arXiv preprint arXiv:nlin/0312036},
year = {2009}
}