ArticleProceedings of the National Academy of Sciences of the United States of America2019
An oscillator model better predicts cortical entrainment to music.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 1 of them a synthesis that pooled it.
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Who cites it
82 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Intersubject correlation as a predictor of attention: a systematic review.BMC psychology · 2025Pooled it
- Article
- Vibrotactile beat sensitivity in deaf individuals: behavioral and neural evidence.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- Article
- Universal and Cross-Cultural Variations in Audio-Motor Synchronization Between French and Indian Participants.Annals of the New York Academy of Sciences · 2026Article
- Spontaneous production rates in music and speech: Effector systems or domain specificity?Frontiers in human neuroscience · 2026Article
- Testing differential effects of periodicity and predictability in auditory rhythmic cueing of concurrent speech.Frontiers in human neuroscience · 2026Article
- Differential effects of external noise and situational interest on neurophysiological responses during video based learning.NPJ science of learning · 2025Article
- Computational modeling of rhythmic expectations: Perspectives, pitfalls, and prospects.PLoS computational biology · 2025Review
- Sequential temporal anticipation characterized by neural power modulation and in recurrent neural networks.eLife · 2025Article
- Tempo-dependent selective enhancement of neural responses at the beat frequency can be mimicked by both an oscillator and an evoked model.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- From Lab to Concert Hall: Effects of Live Performance on Neural Entrainment and Engagement.bioRxiv : the preprint server for biology · 2025Article
- Complex Impact of Stimulus Envelope on Motor Synchronization to Sound.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Global coordination of brain activity by the breathing cycle.Nature reviews. Neuroscience · 2025Review
- "What" and "When" Predictions Jointly Modulate Speech Processing.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- FREQ-NESS Reveals the Dynamic Reconfiguration of Frequency-Resolved Brain Networks During Auditory Stimulation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Article
- Reply to: The timing of speech-to-speech synchronization is governed by the P-center.Communications biology · 2025Article
- Beta oscillations predict the envelope sharpness in a rhythmic beat sequence.Scientific reports · 2025Article
- Auditory Rhythm Encoding during the Last Trimester of Human Gestation: From Tracking the Basic Beat to Tracking Hierarchical Nested Temporal Structures.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
22 more citing papers are in PubMed but not listed here.
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5 authors.
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Abstract
A body of research demonstrates convincingly a role for synchronization of auditory cortex to rhythmic structure in sounds including speech and music. Some studies hypothesize that an oscillator in auditory cortex could underlie important temporal processes such as segmentation and prediction. An important critique of these findings raises the plausible concern that what is measured is perhaps not an oscillator but is instead a sequence of evoked responses. The two distinct mechanisms could look very similar in the case of rhythmic input, but an oscillator might better provide the computational roles mentioned above (i.e., segmentation and prediction). We advance an approach to adjudicate between the two models: analyzing the phase lag between stimulus and neural signal across different stimulation rates. We ran numerical simulations of evoked and oscillatory computational models, showing that in the evoked case,phase lag is heavily rate-dependent, while the oscillatory model displays marked phase concentration across stimulation rates. Next, we compared these model predictions with magnetoencephalography data recorded while participants listened to music of varying note rates. Our results show that the phase concentration of the experimental data is more in line with the oscillatory model than with the evoked model. This finding supports an auditory cortical signal that (
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