Prediction during natural language comprehension
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The notion of prediction is studied in cognitive neuroscience with increasing intensity. We investigated the neural basis of 2 distinct aspects of word prediction, derived from information theory, during story comprehension. We assessed the effect of entropy of next-word probability distributions as well as surprisal A computational model determined entropy and surprisal for each word in 3 literary stories. Twenty-four healthy participants listened to the same 3 stories while their brain activation was measured using fMRI. Reversed speech fragments were presented as a control condition. Brain areas sensitive to entropy were left ventral premotor cortex, left middle frontal gyrus, right inferior frontal gyrus, left inferior parietal lobule, and left supplementary motor area. Areas sensitive to surprisal were left inferior temporal sulcus ("visual word form area"), bilateral superior temporal gyrus, right amygdala, bilateral anterior temporal poles, and right inferior frontal sulcus. We conclude that prediction during language comprehension can occur at several levels of processing, including at the level of word form. Our study exemplifies the power of combining computational linguistics with cognitive neuroscience, and additionally underlines the feasibility of studying continuous spoken language materials with fMRI.
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Grammatically motivated predictions derived from a phrase-structure parser provided the best fit to gamma fluctuations.
“While word-yoked gamma power was explained using computational models that estimated forward-entropy and word-surprisal, (similar to Willems et al., 2016), grammatically motivated predictions derived from a phrase-structure parser provided the best fit to gamma fluctuations.”
From Grounding the neurobiology of language in first principles: The necessity of non-language-centric explanations for language comprehension (2018) · cites this paper as Willems et al., 2016
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IMPLICIT LEARNING IN THE CROWD
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- Authors
- Willems, R. M., Frank, S. L., Nijhof, A. D., Hagoort, P., & van den Bosch, A.
- Affiliations
- Max Planck Institute for Psycholinguistics (NL)
- Radboud University Nijmegen (NL)
- Donders Institute for Brain, Cognition and Behaviour (NL)
- Corresponding author
- Willems, Roel M.
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-04-22
- Volume
- 26
- Issue
- 6
- Pages
- 2506-2516
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- OpenAlex
- W1969221307
- Cited by
- 288
- References
- 94
- Citations by year
- 2026: 17 · 2025: 39 · 2024: 29 · 2023: 38 · 2022: 23 · 2021: 35 · 2020: 27 · 2019: 28 · 2018: 17 · 2017: 17 · 2016: 13 · 2015: 3 · 2014: 1 · 2013: 1
- FWCI
- 10.02
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Cerebral Cortex (publishedVersion)
- PubMed (publishedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
- HighWire Press Open Archive (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion)
- Funders
- the European Union Seventh Framework Programme (334028)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Social Sciences › Psychology › Developmental and Educational Psychology › Reading and Literacy Development
- Social Sciences › Psychology › Social Psychology › Action Observation and Synchronization
- Keywords
- word prediction, natural language understanding, entropy (information theory), information content, narrative comprehension, ventral premotor cortex, inferior frontal gyrus, visual word form area, amygdala, computational models of language, spoken language processing
- MeSH terms
- Acoustic Stimulation, Adolescent, Adult, Brain Mapping, Computer Simulation, Female, Humans, Language, Magnetic Resonance Imaging, Male, Models, Neurological, Models, Psychological, Neuropsychological Tests, Speech Perception, Comprehension, Young Adult, Anticipation, Psychological
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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