Decoding Complex Cognitive States Online by Manifold Regularization in Real-Time fMRI

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    Human decision making is complex and influenced by many factors on multiple time scales, reflected in the numerous brain networks and connectivity patterns involved as revealed by fMRI. We address mislabeling issues in paradigms involving complex cognition, by considering a manifold regularizing prior for modeling a sequence of neural events leading to a decision. The method is directly applicable for online learning in the context of real-time fMRI, and our experimental results show that the method can efficiently avoid model degeneracy caused by mislabeling.
    Original languageEnglish
    Title of host publicationMachine Learning and Interpretation in Neuroimaging : International Workshop, MLINI 2011, Held at NIPS 2011, Sierra Nevada, Spain, December 16-17, 2011, Revised Selected and Invited Contributions
    PublisherSpringer
    Publication date2012
    Pages76-83
    ISBN (Print)978-3-642-34712-2
    ISBN (Electronic)978-3-642-34713-9
    DOIs
    Publication statusPublished - 2012
    EventInternational Workshop on Machine Learning and Interpretation in Neuroimaging (MLINI 2011) - Granada, Spain
    Duration: 16 Dec 201117 Dec 2011
    https://sites.google.com/site/mlini2011/home

    Workshop

    WorkshopInternational Workshop on Machine Learning and Interpretation in Neuroimaging (MLINI 2011)
    CountrySpain
    CityGranada
    Period16/12/201117/12/2011
    Internet address
    SeriesLecture Notes in Computer Science
    Volume7263
    ISSN0302-9743

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