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Increased connectivity among sensory and motor regions during visual and audiovisual speech perception
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In: Open Access Publications (2022)
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A Bayesian optimization approach for rapidly mapping residual network function in stroke. ...
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Parental Perceptions and Decisions Regarding Maintaining Bilingualism in Autism. ...
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Age-related differences in the neural bases of phonological and semantic processes in the context of task-irrelevant information.
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Influence of encoding difficulty, word frequency, and phonological regularity on age differences in word naming.
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Infant and Toddler Child-Care Quality and Stability in Relation to Proximal and Distal Academic and Social Outcomes.
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Age-related differences in the neural bases of phonological and semantic processes.
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Age-related differences in resolving semantic and phonological competition during receptive language tasks.
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Predictive Neural Computations Support Spoken Word Recognition: Evidence from MEG and Competitor Priming. ...
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Sustained neural rhythms reveal endogenous oscillations supporting speech perception. ...
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Language networks in aphasia and health: A 1000 participant activation likelihood estimation meta-analysis. ...
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Next-gen sequencing identifies non-coding variation disrupting miRNA-binding sites in neurological disorders
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Validation of the Portuguese version of the Evidence-Based Practice Questionnaire
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A Bayesian optimization approach for rapidly mapping residual network function in stroke.
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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) propose that spoken word recognition involves comparing heard and predicted speech sounds and using prediction error to update lexical representations. Increased lexical uncertainty in words, such as 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 neighboring 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.SIGNIFICANCE STATEMENT Effective speech perception is critical to daily life and involves computations that combine speech signals with prior knowledge of spoken words (i.e., Bayesian perceptual inference). This study specifies the neural mechanisms that support spoken word recognition by testing two distinct implementations of Bayes perceptual inference. Most established theories propose direct competition between lexical units such that inhibition of irrelevant candidates leads to selection of critical words. Our results instead support predictive-selection theories (e.g., Predictive-Coding): by comparing heard and predicted speech sounds, neural computations of prediction error can help listeners continuously update lexical probabilities, allowing for more rapid word identification.
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Keyword:
Adult; Bayes Theorem; Comprehension; Female; Humans; Magnetoencephalography; Male; MEG; Middle Aged; perception; prediction; priming; Psychology; Recognition; speech; Speech Perception; STG; Temporal Lobe; Young Adult
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URL: https://www.repository.cam.ac.uk/handle/1810/331302
https://doi.org/10.17863/CAM.78749
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| 17 |
Parental Perceptions and Decisions Regarding Maintaining Bilingualism in Autism.
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DYT-TUBB4A (DYT4 Dystonia): New Clinical and Genetic Observations.
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In: Neurology, vol. 96, no. 14, pp. e1887-e1897 (2021)
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The Visual Word Form Area compensates for auditory working memory dysfunction in schizophrenia.
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In: Scientific reports, vol 10, iss 1 (2020)
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Deformation-based shape analysis of the hippocampus in the semantic variant of primary progressive aphasia and Alzheimer's disease.
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