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Deep-learning models reveal how context and listener attention shape electrophysiological correlates of speech-to-language transformation
Anderson AJ,
Davis C,
Lalor EC
(2024)
Deep-learning models reveal how context and listener attention shape electrophysiological correlates of speech-to-language transformation.
PLOS Computational Biology 20(11): e1012537.
https://doi.org/10.1371/journal.pcbi.1012537