Edmund C. Lalor

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Deep-learning models reveal how context and listener attention shape electrophysiological correlates of speech-to-language transformation

Nov 11, 2024 | journals.plos.org | Andrew Anderson |Chris Davis |Western Sydney |Edmund C. Lalor

Loading metrics Open Access Peer-reviewedResearch Article ? This is an uncorrected proof. Citation: 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 Comput Biol 20(11): e1012537.

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