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Brain-computer interfaces

Listening in to perceived speech with contrastive learning

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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.

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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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