Predicting what you remember from brain activity: EEG-based decoding of long-term memory formation

Taeho Kang, Yiyu Chen, Siamac Fazli, Christian Wallraven

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

    1 Citation (Scopus)

    Abstract

    The use of EEG to enhance learning experience in learning environments can contribute to furthering symbiotic relationship between the user and the system. This study examines whether it is possible to predict successful memorization of previously-learned words in a language learning context from brain activity alone. Participants are tasked with learning German-Korean word association pairs, and their retention performance is tested on the day of and the after learning. We perform statistical analysis as well as single-trial classification to investigate whether brain activity as recorded via multi-channel EEG is able to predict whether a word is remembered or not. Our preliminary results confirm above-chance prediction of successful word learning.

    Original languageEnglish
    Title of host publicationSymbiotic Interaction - 6th International Workshop, Symbiotic 2017, Revised Selected Papers
    EditorsBenjamin Blankertz, Anna Spagnolli, Luciano Gamberini, Giulio Jacucci, Jaap Ham
    PublisherSpringer Verlag
    Pages63-73
    Number of pages11
    ISBN (Print)9783319915920
    DOIs
    Publication statusPublished - 2018
    Event6th International Workshop on Symbiotic Interaction, SYMBIOTIC 2017 - Eindhoven, Netherlands
    Duration: 2017 Dec 182017 Dec 19

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume10727 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other6th International Workshop on Symbiotic Interaction, SYMBIOTIC 2017
    Country/TerritoryNetherlands
    CityEindhoven
    Period17/12/1817/12/19

    Bibliographical note

    Funding Information:
    Acknowledgment. This work was supported by Institute for Information & Communications Technology Promotion (IITP) grant funded by the Korea government (No. 2017-0-00451). This publication only reflects the authors views.

    Publisher Copyright:
    © Springer International Publishing AG, part of Springer Nature 2018.

    Keywords

    • BCI
    • EEG
    • Education
    • Language learning
    • Memory

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

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