ArticleProceedings of the National Academy of Sciences of the United States of America2024
Phase-dependent word perception emerges from region-specific sensitivity to the statistics of language.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- I Can't Hear You Both at the Same Time: A Temporal Dilemma During Inter-Regional Communication.eNeuro · 2026Article
- Temporal Dynamics of EEG Reflect Continuous Error Correction during Force Control.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Left Perisylvian Rhythms Encode Prosody and Syntax during Delayed Sentence Repetition.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Neural encoding of melodic expectations in music across EEG frequency bands.The European journal of neuroscience · 2024Article
- Challenges and Approaches in the Study of Neural Entrainment.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Review
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Authors and funding
4 authors.
Funding
Abstract
Neural oscillations reflect fluctuations in excitability, which biases the percept of ambiguous sensory input. Why this bias occurs is still not fully understood. We hypothesized that neural populations representing likely events are more sensitive, and thereby become active on earlier oscillatory phases, when the ensemble itself is less excitable. Perception of ambiguous input presented during less-excitable phases should therefore be biased toward frequent or predictable stimuli that have lower activation thresholds. Here, we show such a frequency bias in spoken word recognition using psychophysics, magnetoencephalography (MEG), and computational modelling. With MEG, we found a double dissociation, where the phase of oscillations in the superior temporal gyrus and medial temporal gyrus biased word-identification behavior based on phoneme and lexical frequencies, respectively. This finding was reproduced in a computational model. These results demonstrate that oscillations provide a temporal ordering of neural activity based on the sensitivity of separable neural populations.
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Registered trials
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