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ERP mismatch response to phonological and temporal regularities in speech
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In: Sci Rep (2020)
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Lexical information guides retuning of neural patterns in perceptual learning for speech
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In: J Cogn Neurosci (2020)
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Abstract:
A listener’s interpretation of a given speech sound can vary probabilistically from moment to moment. Previous experience (i.e., the contexts in which one has previously encountered an ambiguous sound) can further influence the interpretation of speech, a phenomenon known as perceptual learning for speech. The present study used multi-voxel pattern analysis to query how neural patterns reflect perceptual learning, leveraging archival fMRI data from a lexically guided perceptual learning study conducted by Myers and Mesite (2014). In that study, participants first heard ambiguous /s/-/∫/ blends in either /s/-biased lexical contexts (epi_ode) or /∫/-biased contexts (refre_ing); subsequently, they performed a phonetic categorization task on tokens from an /asi/-/a∫i/ continuum. In the current work, a classifier was trained to distinguish between phonetic categorization trials in which participants heard unambiguous productions of /s/ and those in which they heard unambiguous productions of /∫/. The classifier was able to generalize this training to ambiguous tokens from the middle of the continuum on the basis of individual subjects’ trial-by-trial perception. We take these findings as evidence that perceptual learning for speech involves neural recalibration, such that the pattern of activation approximates the perceived category. Exploratory analyses showed that left parietal regions (supramarginal and angular gyri) and right temporal regions (superior, middle and transverse temporal gyri) were most informative for categorization. Overall, our results inform an understanding of how moment-to-moment variability in speech perception is encoded in the brain.
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Article
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URL: https://doi.org/10.1162/jocn_a_01612 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8048099/ http://www.ncbi.nlm.nih.gov/pubmed/32662731
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Combining Gamma With Alpha and Beta Power Modulation for Enhanced Cortical Mapping in Patients With Focal Epilepsy
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In: Front Hum Neurosci (2020)
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Phonatory and articulatory representations of speech production in cortical and subcortical fMRI responses
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Sensorimotor Representation of Speech Perception. Cross-Decoding of Place of Articulation Features during Selective Attention to Syllables in 7T fMRI
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Reading-induced shifts of perceptual speech representations in auditory cortex
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Altered patterns of directed connectivity within the reading network of dyslexic children and their relation to reading dysfluency
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Decoding Articulatory Features from fMRI Responses in Dorsal Speech Regions
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EEG decoding of spoken words in bilingual listeners: from words to language invariant semantic-conceptual representations
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