Evidence map›Paper›PMID 26635549›Full record

ArticleFrontiers in systems neuroscience2015

Neural Networks for Beat Perception in Musical Rhythm.

Edward W Large, Jorge A Herrera, Marc J Velasco

Abstract read
In one paragraph

Article in Frontiers in systems neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers.

0numbers the graph read from it
0cells of the map it votes in
121citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

121 citing papers in PubMed.

  1. Article
  2. Article
  3. Cortico-striatal network architecture shapes rhythmic biases in music.Cerebral cortex (New York, N.Y. : 1991) · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Critical Review on the Development and Evolution of Beat Perception.Annals of the New York Academy of Sciences · 2026
    Review
  8. Article
  9. Article
  10. Article
  11. Temporal codes and recurrent timing nets for rhythmic expectancy.Frontiers in computational neuroscience · 2026
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Pitch-induced illusory percepts of time.Attention, perception & psychophysics · 2025
    Article
  19. Article
  20. Article

61 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Edward W LargeDepartment of Psychological Sciences, University of Connecticut Storrs, CT, USA ; Department of Physics, University of Connecticut Storrs, CT, USA.
Jorge A HerreraDepartment of Music, Center for Computer Research in Music and Acoustics, Stanford University Stanford, CA, USA.
Marc J VelascoCenter for Complex Systems and Brain Sciences, Florida Atlantic University Boca Raton, FL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Entrainment of cortical rhythms to acoustic rhythms has been hypothesized to be the neural correlate of pulse and meter perception in music. Dynamic attending theory first proposed synchronization of endogenous perceptual rhythms nearly 40 years ago, but only recently has the pivotal role of neural synchrony been demonstrated. Significant progress has since been made in understanding the role of neural oscillations and the neural structures that support synchronized responses to musical rhythm. Synchronized neural activity has been observed in auditory and motor networks, and has been linked with attentional allocation and movement coordination. Here we describe a neurodynamic model that shows how self-organization of oscillations in interacting sensory and motor networks could be responsible for the formation of the pulse percept in complex rhythms. In a pulse synchronization study, we test the model's key prediction that pulse can be perceived at a frequency for which no spectral energy is present in the amplitude envelope of the acoustic rhythm. The result shows that participants perceive the pulse at the theoretically predicted frequency. This model is one of the few consistent with neurophysiological evidence on the role of neural oscillation, and it explains a phenomenon that other computational models fail to explain. Because it is based on a canonical model, the predictions hold for an entire family of dynamical systems, not only a specific one. Thus, this model provides a theoretical link between oscillatory neurodynamics and the induction of pulse and meter in musical rhythm.

Indexed as

beat perceptiondynamical systemsmusical rhythmneural networksneural resonance

Identifiers

PMID26635549
PMCPMC4658578

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.