MiS Preprint Repository

We have decided to discontinue the publication of preprints on our preprint server as of 1 March 2024. The publication culture within mathematics has changed so much due to the rise of repositories such as ArXiV ( that we are encouraging all institute members to make their preprints available there. An institute's repository in its previous form is, therefore, unnecessary. The preprints published to date will remain available here, but we will not add any new preprints here.

MiS Preprint

An Analytical Framework For Modeling Evoked and Event-Related Potentials

Axel Hutt


The presented work introduces shortly a novel segmentation method and a modeling approach for multivariate quasi-stationary data. The combination of both parts allows the extraction of low-dimensional models from multivariate data. The segmentation method is applied both to event-related potentials and fields and early auditory evoked potentials. Additionally, the early auditory wave $Pa$ is modeled by a two-dimensional dynamical system. The segmentation method detects ERP- and ERF-components and early auditory waves objectively, which illustrates the independence of the segmentation method from the number of segments. Additionally, we find a common topology of wave $Pa$, which indicates a common underlying attractor in the brain

02.50.Sk, 95.10.Fh, 06.30.-k
signal segmentation, multivariate modeling, brain signals

Related publications

2004 Repository Open Access
Axel Hutt

An analytical framework for modeling evoked and event-related potentials

In: International journal of bifurcation and chaos in applied sciences and engineering, 14 (2004) 2, pp. 653-666