Cargando…

Neural Networks for Beat Perception in Musical Rhythm

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Large, Edward W., Herrera, Jorge A., Velasco, Marc J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4658578/
https://www.ncbi.nlm.nih.gov/pubmed/26635549
http://dx.doi.org/10.3389/fnsys.2015.00159
_version_ 1782402537506209792
author Large, Edward W.
Herrera, Jorge A.
Velasco, Marc J.
author_facet Large, Edward W.
Herrera, Jorge A.
Velasco, Marc J.
author_sort Large, Edward W.
collection PubMed
description 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.
format Online
Article
Text
id pubmed-4658578
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-46585782015-12-03 Neural Networks for Beat Perception in Musical Rhythm Large, Edward W. Herrera, Jorge A. Velasco, Marc J. Front Syst Neurosci Neuroscience 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. Frontiers Media S.A. 2015-11-25 /pmc/articles/PMC4658578/ /pubmed/26635549 http://dx.doi.org/10.3389/fnsys.2015.00159 Text en Copyright © 2015 Large, Herrera and Velasco. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Large, Edward W.
Herrera, Jorge A.
Velasco, Marc J.
Neural Networks for Beat Perception in Musical Rhythm
title Neural Networks for Beat Perception in Musical Rhythm
title_full Neural Networks for Beat Perception in Musical Rhythm
title_fullStr Neural Networks for Beat Perception in Musical Rhythm
title_full_unstemmed Neural Networks for Beat Perception in Musical Rhythm
title_short Neural Networks for Beat Perception in Musical Rhythm
title_sort neural networks for beat perception in musical rhythm
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4658578/
https://www.ncbi.nlm.nih.gov/pubmed/26635549
http://dx.doi.org/10.3389/fnsys.2015.00159
work_keys_str_mv AT largeedwardw neuralnetworksforbeatperceptioninmusicalrhythm
AT herrerajorgea neuralnetworksforbeatperceptioninmusicalrhythm
AT velascomarcj neuralnetworksforbeatperceptioninmusicalrhythm