Frequency Constrained ShiftCP Modeling of Neuroimaging Data

Morten Mørup (Invited author), Lars Kai Hansen (Invited author), Kristoffer H. Madsen (Invited author)

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    Abstract

    The shift invariant multi-linear model based on the CandeComp/PARAFAC (CP) model denoted ShiftCP has proven useful for the modeling of latency changes in trial based neuroimaging data[17]. In order to facilitate component interpretation we presently extend the shiftCP model such that the extracted components can be constrained to pertain to predefined frequency ranges such as alpha, beta and gamma activity. To infer the number of components in the model we propose to apply automatic relevance determination by imposing priors that define the range of variation of each component of the shiftCP model and learning the hyper-parameters of these priors during model estimation.
    Original languageEnglish
    Title of host publication2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)
    PublisherIEEE
    Publication date2011
    Pages127-131
    ISBN (Print)978-1-4673-0323-1
    DOIs
    Publication statusPublished - 2011
    EventAsilomar Conference on Signals, Systems, and Computers - Pacific Grove, CA, United States
    Duration: 6 Nov 20119 Nov 2011

    Conference

    ConferenceAsilomar Conference on Signals, Systems, and Computers
    CountryUnited States
    CityPacific Grove, CA
    Period06/11/201109/11/2011

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