Information criteria determine the number of active sources

T.R. Knosche, E.M. Berends, M.J. Peters, H.R.A. Jagers

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Abstract

    With the neuroelectromagnetic inverse problem, the optimal choice of the number of sources is a difficult problem, especially in the presence of correlated noise. In this paper we present a number of information criteria that help to solve this problem. They are based on the probability density function of the measurements or their eigenvalues. Make use of the Akaike or MDL (minimum description length) correction term and all employ some sort of noise information. By extensive simulations we investigated the conditions under which these criteria yield reliable estimations. We were able to quantify two major factors of influence: (1) the precision of the noise information and (2) the signal-to-noise ratio (SNR). Here defined as the ratio of the smallest signal eigenvalues and the average of the noise eigenvalues. Furthermore, we found that the Akaike correction term tends to overestimate, due to its greater sensibility to the precision of the noise information.
    Original languageEnglish
    Title of host publicationQuantitative and topologival EEG and MEG analysis
    Subtitle of host publicationProceedings of the 3rd Hans Berger Congress
    EditorsHerbert Witte
    Place of PublicationJena, Germany
    PublisherKarl Mayer GmbH
    Pages321-323
    Number of pages3
    ISBN (Print)3-925978-67-4
    Publication statusPublished - 14 Dec 1997
    EventThird International Hans Berger Congress - Jena, Duitsland
    Duration: 4 Oct 1996 → …

    Conference

    ConferenceThird International Hans Berger Congress
    CityJena, Duitsland
    Period4/10/96 → …

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    • Information criteria determine the number of active sources

      Knosche, T. R., Berends, E. M., Peters, M. J. & Jagers, H. R. A., 30 Sept 1996, Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Los Alamitos, CA: IEEE, Vol. 2. p. 83-87 5 p.

      Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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