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Translating the brain

A new study shows that mapping neural signals directly to word sequences produces lower error rates in speech decoding than previous methods that use motor or auditory based features. This suggests that using higher-level language goals can aid decoding algorithms for neural speech prostheses.

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Fig. 1: Neural machine translation for language.


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Correspondence to Gregory B. Cogan.

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Cogan, G.B. Translating the brain. Nat Neurosci 23, 471–472 (2020).

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