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Sustained neural rhythms reveal endogenous oscillations supporting speech perception ...
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The relationship between sentence comprehension and lexical-semantic retuning
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Sustained neural rhythms reveal endogenous oscillations supporting speech perception
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Sustained neural rhythms reveal endogenous oscillations supporting speech perception
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Predictive neural computations support spoken word recognition: evidence from meg and competitor priming
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Abstract:
Human listeners achieve quick and effortless speech comprehension through computations of conditional probability using Bayes rule. However, the neural implementation of Bayesian perceptual inference remains unclear. Competitive-selection accounts (e.g. TRACE) propose that word recognition is achieved through direct inhibitory connections between units representing candidate words that share segments (e.g. hygiene and hijack share/haidʒ/). Manipulations that increase lexical uncertainty should increase neural responses associated with word recognition when words cannot be uniquely identified. In contrast, predictive-selection accounts (e.g. Predictive-Coding) proposes that spoken word recognition involves comparing heard and predicted speech sounds and using prediction error to update lexical representations. Increased lexical uncertainty in words like hygiene and hijack will increase prediction error and hence neural activity only at later time points when different segments are predicted. We collected MEG data from male and female listeners to test these two Bayesian mechanisms and used a competitor priming manipulation to change the prior probability of specific words. Lexical decision responses showed delayed recognition of target words (hygiene) following presentation of a neighbouring prime word (hijack) several minutes earlier. However, this effect was not observed with pseudoword primes (higent) or targets (hijure). Crucially, MEG responses in the STG showed greater neural responses for word-primed words after the point at which they were uniquely identified (after/haidʒ/in hygiene) but not before while similar changes were again absent for pseudowords. These findings are consistent with accounts of spoken word recognition in which neural computations of prediction error play a central role.
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URL: https://doi.org/10.1523/JNEUROSCI.1685-20.2021 http://sro.sussex.ac.uk/id/eprint/99928/1/SOHOGLU_Journal_of_Neuroscience%20_MAY_2021.pdf http://sro.sussex.ac.uk/id/eprint/99928/
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Rapid computations of spectrotemporal prediction error support perception of degraded speech
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In: eLife (2020)
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The neural time course of semantic ambiguity resolution in speech comprehension
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In: J Cogn Neurosci (2020)
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Three functions of prediction error for Bayesian inference in speech perception
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Rapid computations of spectrotemporal prediction error support perception of degraded speech
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Mapping visual symbols onto spoken language along the ventral visual stream
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The neural time course of semantic ambiguity resolution in speech comprehension
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Listeners and readers generalize their experience with word meanings across modalities
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Semantic and phonological schema influence spoken word learning and overnight consolidation
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Semantic and phonological schema influence spoken word learning and overnight consolidation
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Phase Entrainment of Brain Oscillations Causally Modulates Neural Responses to Intelligible Speech
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Semantic and phonological schema influence spoken word learning and overnight consolidation
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Listeners and readers generalise their experience with word meanings across modalities
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Accent modulates access to word meaning: Evidence for a speaker-model account of spoken word recognition
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Accent modulates access to word meaning: Evidence for a speaker-model account of spoken word recognition
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