Balancing prediction and sensory input in speech comprehension: The spatiotemporal dynamics of word-recognition in context
| Autor: | Billi Randall, Lorraine K. Tyler, Barry J. Devereux, Ece Kocagoncu, William D. Marslen-Wilson, Anastasia Klimovich-Gray |
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| Přispěvatelé: | Klimovich-Gray, Anastasia [0000-0002-6292-6381], Tyler, Lorraine K [0000-0002-9943-118X], Kocagoncu, Ece [0000-0002-6292-7472], Devereux, Barry [0000-0003-2128-8632], Marslen-Wilson, William D [0000-0003-0690-6308], Apollo - University of Cambridge Repository |
| Rok vydání: | 2018 |
| Předmět: |
Male
Computer science Brain activity and meditation Entropy speech Neuroscience(all) Speech recognition media_common.quotation_subject Sensation word recognition Prefrontal Cortex Neuroimaging Context (language use) Sensory system 050105 experimental psychology 03 medical and health sciences 0302 clinical medicine RSA Noun Perception Animals time-course 0501 psychology and cognitive sciences Research Articles media_common language General Neuroscience 05 social sciences Probabilistic logic Brain Magnetoencephalography Electroencephalography Recognition Psychology prediction Sensory Gating Anticipation Psychological Magnetic Resonance Imaging Rats Semantics Word recognition Speech Perception Female Nerve Net Comprehension 030217 neurology & neurosurgery Spoken language |
| Zdroj: | The Journal of Neuroscience Klimovich-Gray, A, Tyler, L K, Randall, B, Kocagoncu, E, Devereux, B & Marslen-Wilson, W D 2019, ' Balancing Prediction and Sensory Input in Speech Comprehension: The Spatiotemporal Dynamics of Word Recognition in Context ', The Journal of neuroscience : the official journal of the Society for Neuroscience, vol. 39, no. 3, pp. 519-527 . https://doi.org/10.1523/JNEUROSCI.3573-17.2018, https://doi.org/10.1523/jneurosci.3573-17.2018 |
| ISSN: | 0270-6474 |
| DOI: | 10.1523/jneurosci.3573-17.2018 |
| Popis: | Spoken word recognition in context is remarkably fast and accurate, with recognition times of ∼200 ms, typically well before the end of the word. The neurocomputational mechanisms underlying these contextual effects are still poorly understood. This study combines source-localized electroencephalographic and magnetoencephalographic (EMEG) measures of real-time brain activity with multivariate representational similarity analysis to determine directly the timing and computational content of the processes evoked as spoken words are heard in context, and to evaluate the respective roles of bottom-up and predictive processing mechanisms in the integration of sensory and contextual constraints. Male and female human participants heard simple (modifier-noun) English phrases that varied in the degree of semantic constraint that the modifier (W1) exerted on the noun (W2), as in pairs, such as “yellow banana.” We used gating tasks to generate estimates of the probabilistic predictions generated by these constraints as well as measures of their interaction with the bottom-up perceptual input for W2. Representation similarity analysis models of these measures were tested against electroencephalographic and magnetoencephalographic brain data across a bilateral fronto-temporo-parietal language network. Consistent with probabilistic predictive processing accounts, we found early activation of semantic constraints in frontal cortex (LBA45) as W1 was heard. The effects of these constraints (at 100 ms after W2 onset in left middle temporal gyrus and at 140 ms in left Heschl's gyrus) were only detectable, however, after the initial phonemes of W2 had been heard. Within an overall predictive processing framework, bottom-up sensory inputs are still required to achieve early and robust spoken word recognition in context.SIGNIFICANCE STATEMENTHuman listeners recognize spoken words in natural speech contexts with remarkable speed and accuracy, often identifying a word well before all of it has been heard. In this study, we investigate the brain systems that support this important capacity, using neuroimaging techniques that can track real-time brain activity during speech comprehension. This makes it possible to locate the brain areas that generate predictions about upcoming words and to show how these expectations are integrated with the evidence provided by the speech being heard. We use the timing and localization of these effects to provide the most specific account to date of how the brain achieves an optimal balance between prediction and sensory input in the interpretation of spoken language. |
| Databáze: | OpenAIRE |
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