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Neural Networks for Beat Perception in Musical Rhythm

Overview of attention for article published in Frontiers in Systems Neuroscience, November 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
3 news outlets
blogs
2 blogs
twitter
8 X users
video
3 YouTube creators

Citations

dimensions_citation
217 Dimensions

Readers on

mendeley
366 Mendeley
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Title
Neural Networks for Beat Perception in Musical Rhythm
Published in
Frontiers in Systems Neuroscience, November 2015
DOI 10.3389/fnsys.2015.00159
Pubmed ID
Authors

Edward W. Large, Jorge A. Herrera, Marc J. Velasco

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.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 366 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 6 2%
United States 2 <1%
Norway 1 <1%
South Africa 1 <1%
Netherlands 1 <1%
Canada 1 <1%
Germany 1 <1%
Mexico 1 <1%
Poland 1 <1%
Other 0 0%
Unknown 351 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 89 24%
Student > Master 53 14%
Researcher 40 11%
Student > Bachelor 36 10%
Student > Doctoral Student 25 7%
Other 54 15%
Unknown 69 19%
Readers by discipline Count As %
Psychology 85 23%
Neuroscience 72 20%
Arts and Humanities 32 9%
Engineering 18 5%
Computer Science 17 5%
Other 56 15%
Unknown 86 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 44. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 November 2022.
All research outputs
#1,005,093
of 26,463,849 outputs
Outputs from Frontiers in Systems Neuroscience
#75
of 1,412 outputs
Outputs of similar age
#15,916
of 396,564 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#5
of 45 outputs
Altmetric has tracked 26,463,849 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,412 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 396,564 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.