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Brain-Computer Interface Research pp 115–125Cite as

The Changing Brain: Bidirectional Learning Between Algorithm and User

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Abstract

In 2013–2014 we have advanced our MRCP-based BCI by demonstrating: (1) the ability to detect movement intent during dynamic tasks; (2) better detection accuracy than conventional approaches by implementing the locality preserving projection (LPP) approach; (3) the ability to use a single channel for accurate detection; and (4) enhanced neuroplasticity by driving a robotic device in an online mode. To realize our final goal of an at home system, we have characterized alterations during single session use in our extracted signal when the user is undergoing complex learning or experiencing significant attentional shifts—all seriously affecting the detection of user intent. Learning enhances the variability of MRCP at specific recording sites while attention shifts result in a more global increase in signal variability. With the results presented, we are working towards an adaptive brain–computer interface where bidirectional learning (either user or algorithm) is possible.

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Acknowledgements

We wish to acknowledge our subjects and all of the students from the laboratory, both past and present.

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Authors and Affiliations

  1. Center for Sensory-Motor Interaction, Department of Health Science and Technology, Aalborg University, 9220, Aalborg, Denmark

    N. Mrachacz-Kersting, S. Aliakbaryhosseinabadi, L. Petrini, R. Lontis & K. Dremstrup

  2. Neurorehabilitation Engineering Bernstein, Center for Computational Neuroscience University Medical Center, Göttingen, Germany

    N. Jiang, R. Xu & D. Farina

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  1. N. Mrachacz-Kersting
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  2. N. Jiang
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  3. S. Aliakbaryhosseinabadi
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  4. R. Xu
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Correspondence to N. Mrachacz-Kersting .

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Editors and Affiliations

  1. g.tec Guger Technologies OG, Schiedlberg, Austria

    Christoph Guger

  2. Graz, Austria

    Gernot Müller-Putz

  3. Cognitive Science Dept., UC San Diego, La Jolla, California, USA

    Brendan Allison

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Mrachacz-Kersting, N. et al. (2015). The Changing Brain: Bidirectional Learning Between Algorithm and User. In: Guger, C., Müller-Putz, G., Allison, B. (eds) Brain-Computer Interface Research. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-25190-5_11

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  • DOI: https://doi.org/10.1007/978-3-319-25190-5_11

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-25190-5

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