Analysing the Changing Brain: Immediate Brain Plasticity after One Hour of BCI

K. R. Muller

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

    1 Citation (Scopus)

    Abstract

    In this brief contribution I will discuss recent directions of our research where nonlinear learning methods are employed for analysing multimodal brain data, both in the context of BCI and beyond-essentially summarizing some steps taken by the BBCI team and co-workers. Clearly, unavoidably and intentionally this abstract will have a high overlap to prior own contributions and touch upon ongoing unpublished respectively pre-pulished work, nevertheless extensively providing pointers to various research directions.

    Original languageEnglish
    Title of host publication8th International Winter Conference on Brain-Computer Interface, BCI 2020
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781728147079
    DOIs
    Publication statusPublished - 2020 Feb
    Event8th International Winter Conference on Brain-Computer Interface, BCI 2020 - Gangwon, Korea, Republic of
    Duration: 2020 Feb 262020 Feb 28

    Publication series

    Name8th International Winter Conference on Brain-Computer Interface, BCI 2020

    Conference

    Conference8th International Winter Conference on Brain-Computer Interface, BCI 2020
    Country/TerritoryKorea, Republic of
    CityGangwon
    Period20/2/2620/2/28

    Bibliographical note

    Funding Information:
    This abstract is based on joint work with Till Nierhaus, Carmen Vidaurre, Arno Villringer, Armin Thomas, Wojciech Samek, Hauke Heekeren, Benjamin Blankertz, Gabriel Curio, Michael Tangermann, Siamac Fazli, Vadim Nikulin, Gregoire Montavon, Sebastian Bach/Lapuschkin, Irene Sturm and many other members of the Berlin Brain Computer Interface team, the machine learning groups and many more esteemed collaborators. We greatly acknowledge funding by BMBF, EU, DFG and NRF.

    Publisher Copyright:
    © 2020 IEEE.

    ASJC Scopus subject areas

    • Behavioral Neuroscience
    • Cognitive Neuroscience
    • Artificial Intelligence
    • Human-Computer Interaction

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