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BRAIN–COMPUTER INTERFACES

From unstable input to robust output

Nature Biomedical Engineering volume 4, pages 665–667 (2020)Cite this article

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In the presence of recording instabilities, the performance of brain–computer interfaces can be robustly maintained by exploiting ‘hidden’ structures underlying neural activity.

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Fig. 1: Patterns in the underlying activity of simultaneously recorded neurons can be leveraged to improve the robustness of decoders for BCIs.

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Authors and Affiliations

  1. Wallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, USA

    Lahiru N. Wimalasena & Chethan Pandarinath

  2. Physiology Department, Northwestern University, Chicago, IL, USA

    Lee E. Miller

  3. Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL, USA

    Lee E. Miller

  4. Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA

    Lee E. Miller

  5. Emory Neuromodulation and Technology Innovation Center, Emory University, Atlanta, GA, USA

    Chethan Pandarinath

Authors
  1. Lahiru N. Wimalasena
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  2. Lee E. Miller
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  3. Chethan Pandarinath
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Correspondence to Chethan Pandarinath.

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Wimalasena, L.N., Miller, L.E. & Pandarinath, C. From unstable input to robust output. Nat Biomed Eng 4, 665–667 (2020). https://doi.org/10.1038/s41551-020-0587-9

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