Edward Large - Neural networks for pulse perception in musical rhythm
University of Connecticut
The Rhythm Project (2014)
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 forty 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. In this talk, I describe a neurodynamic model – utilizing the new Gradient Frequency Neural Network (GrFNN) toolbox – 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. I also describe an empirical test of the prediction that pulse can be perceived at a frequency for which no spectral energy is present in the amplitude envelope of the acoustic rhythm. This model provides a theoretical link between oscillatory neurodynamics and the induction of pulse and meter in musical rhythm.
