An oscillator model better predicts cortical entrainment to music

Abstract

Previous work in humans has found rhythmic cortical activity while listening to rhythmic sounds such as speech or music. Whether this activity reflects oscillatory dynamics of a neural circuit or instead evoked responses to the rhythmic stimulus has been difficult to determine. Here, we devised a metric to tease apart the two hypotheses by analyzing phase lag across many stimulation rates. We test this phase concentration metric using numerical simulations and generate quantitative predictions to compare against recorded magnetoencephalography data. Both previously recorded and new data were better predicted by a model of oscillatory dynamics than evoked responses. This work, therefore, provides definitive evidence for the presence of an oscillatory dynamic in auditory cortex during processing of rhythmic stimuli.

Document Details

Document Type
Pub Defense Publication
Publication Date
Apr 24, 2019
Source ID
10.1073/pnas.1816414116

Entities

People

  • Bijan Pesaran
  • Dana Bevilacqua
  • David Poeppel
  • Keith B. Doelling
  • M. Florencia Assaneo

Organizations

  • Army Research Office
  • Division of Graduate Education
  • Max Planck Institute for Empirical Aesthetics
  • National Institute on Deafness and Other Communication Disorders
  • New York University

Tags

Fields of Study

  • Biology
  • Psychology

Readers

  • Computational Modeling and Simulation
  • Neuroscience
  • Speech Processing/Speech Recognition.