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• W2137172783 startingPage "2457" @default.
• W2137172783 abstract "The human ability to understand speech is underpinned by a hierarchical auditory system whose successive stages process increasingly complex attributes of the acoustic input. It has been suggested that to produce categorical speech perception, this system must elicit consistent neural responses to speech tokens (e.g., phonemes) despite variations in their acoustics. Here, using electroencephalography (EEG), we provide evidence for this categorical phoneme-level speech processing by showing that the relationship between continuous speech and neural activity is best described when that speech is represented using both low-level spectrotemporal information and categorical labeling of phonetic features. Furthermore, the mapping between phonemes and EEG becomes more discriminative for phonetic features at longer latencies, in line with what one might expect from a hierarchical system. Importantly, these effects are not seen for time-reversed speech. These findings may form the basis for future research on natural language processing in specific cohorts of interest and for broader insights into how brains transform acoustic input into meaning." @default.
• W2137172783 created "2016-06-24" @default.
• W2137172783 creator A5025983431 @default.
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• W2137172783 creator A5074790393 @default.
• W2137172783 date "2015-10-01" @default.
• W2137172783 modified "2023-10-16" @default.
• W2137172783 title "Low-Frequency Cortical Entrainment to Speech Reflects Phoneme-Level Processing" @default.
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• W2137172783 doi "https://doi.org/10.1016/j.cub.2015.08.030" @default.
• W2137172783 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/26412129" @default.
• W2137172783 hasPublicationYear "2015" @default.
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