Single-trials ERPs predict correct answers to intelligence test questions

Achim Leydecker, Felix Biebmann, Siamac Fazli

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Citations (Scopus)

    Abstract

    Neurotechnology offers the potential to improve performance in cognitive tasks by tailoring the learning paradigm to the neurophysiological correlates of mental processes. Up to date, there are few studies that investigate the single trial performance of neural decoding in cognitive tasks. In this study we examine EEG data while a given subject is solving questions which are commonly used in intelligence quotient tests. Subjects are instructed to solve a number of visual template matching tasks. Our findings suggest that it is possible to decode the true answer from the subjects' ERP responses at the time of its presentation. These results indicate that neurophysiological markers could be useful for neurotechnology assisted learning paradigms.

    Original languageEnglish
    Title of host publicationProceedings - 2014 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014
    PublisherIEEE Computer Society
    ISBN (Print)9781479941506
    DOIs
    Publication statusPublished - 2014
    Event4th International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014 - Tubingen, Germany
    Duration: 2014 Jun 42014 Jun 6

    Publication series

    NameProceedings - 2014 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014

    Other

    Other4th International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014
    Country/TerritoryGermany
    CityTubingen
    Period14/6/414/6/6

    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition
    • Biomedical Engineering

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