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A brain implant decodes speech

Nature Reviews Neurology volume 17, page 525 (2021)Cite this article

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Machine learning can be used to decode speech from cortical activity recordings in real time, according to a recent study. Researchers implanted a subdural multi-electrode array over the area of cortex that controls speech in an individual with anarthria caused by brainstem stroke. Cortical activity was recorded for a total of 22 h while the participant attempted to say a predefined set of 50 words. Deep learning was applied to this dataset to build computational models that were able to detect and classify the intended words in real time, suggesting that technology has the potential to restore communication in individuals who are paralysed and cannot speak.

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Original article

  • Moses, D. A. et al. Neuroprosthesis for decoding speech in a paralyzed person with anarthria. N. Engl. J. Med. 385, 217–227 (2021)

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  1. Nature Reviews Neurology http://www.nature.com/nrneurol/

    Sarah Lemprière

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  1. Sarah Lemprière
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Correspondence to Sarah Lemprière.

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Lemprière, S. A brain implant decodes speech. Nat Rev Neurol 17, 525 (2021). https://doi.org/10.1038/s41582-021-00552-2

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  • DOI: https://doi.org/10.1038/s41582-021-00552-2

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