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Brain-computer interfaces

Listening in to perceived speech with contrastive learning

Nature Machine Intelligence volume 5, pages 1179–1180 (2023)Cite this article

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New algorithms allow researchers to decode words the brain is hearing with a non-invasive method, outside the scalp.

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Fig. 1: A deep learning strategy for decoding perceived speech.

References

  1. Oganian, Y., Bhaya-Grossman, I., Johnson, K. & Chang, E. F. Neuron 111, 2105–2118.e4 (2023).

    Article  Google Scholar 

  2. Bellier, L. et al. PLOS Biol. 21, e3002176 (2023).

    Article  Google Scholar 

  3. Wolpaw, J. R., McFarland, D. J., Neat, G. W. & Forneris, C. A. Electroencephalogr. Clin. Neurophysiol. 78, 252–259 (1991).

    Article  Google Scholar 

  4. Tang, J., LeBel, A., Jain, S. & Huth, A. G. Nat. Neurosci. 26, 858–866 (2023).

    Article  Google Scholar 

  5. Défossez, A. et al. Nat. Mach. Intell. https://doi.org/10.1038/s42256-023-00714-5 (2023).

    Article  Google Scholar 

  6. Boto, E. et al. Nature 555, 657–661 (2018).

    Article  Google Scholar 

  7. Radford, A. et al. In Proceedings of the 38th International Conference on Machine Learning 8748–8763 (PMLR, 2021).

  8. Baevski, A., Zhou, Y., Mohamed, A. & Auli, M. In Advances in Neural Information Processing Systems vol. 33 12449–12460 (Curran Associates, 2020).

  9. Huth, A. G., De Heer, W. A., Griffiths, T. L., Theunissen, F. E. & Gallant, J. L. Nature 532, 453–458 (2016).

    Article  Google Scholar 

  10. Willett, F. R. et al. Nature 620, 1031–1036 (2023).

    Article  Google Scholar 

  11. Metzger, S. L. et al. Nature 620, 1037–1046 (2023).

    Article  Google Scholar 

Download references

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Authors and Affiliations

  1. Department of Neurological Surgery, University of California, Davis, Davis, CA, USA

    Sergey D. Stavisky & Maitreyee Wairagkar

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  1. Sergey D. Stavisky
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  2. Maitreyee Wairagkar
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Correspondence to Sergey D. Stavisky.

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Competing interests

S.D.S. is an inventor on intellectual property related to intracortical BCIs licensed by Stanford University to Blackrock Neurotech and Neuralink Corp.

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Stavisky, S.D., Wairagkar, M. Listening in to perceived speech with contrastive learning. Nat Mach Intell 5, 1179–1180 (2023). https://doi.org/10.1038/s42256-023-00742-1

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