| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 2576633 | International Congress Series | 2007 | 4 Pages |
Abstract
We adapted a Bayesian tracking algorithm called particle filtering for estimating multiple current dipoles from magnetoencephalographic measurements. This method can reconstruct temporally correlated as well as moving dipolar sources in a fully automatic way. Here, we introduce the method and demonstrate its performance by modelling the highly correlated bilateral sources underlying the N100 auditory evoked response.
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Authors
A. Sorrentino, L. Parkkonen, M. Piana,