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Mode-locking neurodynamics predict human auditory brainstem responses to musical intervals.

Karl D Lerud¹, Felix V Almonte¹, Ji Chul Kim¹

¹University of Connecticut, Department of Psychology, 406 Babbidge Road, Storrs, CT 06269-1020, USA.

Hearing Research

|October 5, 2013

Summary

Central auditory nonlinearities are explained by a novel mode-locking neural oscillation model. This model predicts complex responses to musical intervals, advancing our understanding of auditory processing and perception.

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Area of Science:

Neuroscience
Auditory System Physiology
Computational Neuroscience

Background:

The auditory nervous system exhibits significant nonlinearities, originating from both peripheral cochlear processes and central neural populations.
Central auditory nonlinearities in humans are observed in brainstem responses to complex tones and musical intervals, but their biophysical basis is unclear.
Neural phase-locking is established in auditory brainstem nuclei, but mode-locking, a nonlinear processing generalization, has only recently been observed.

Purpose of the Study:

To investigate the biophysical origin and signal processing properties of central auditory nonlinearities.
To determine the relationship between neural nonlinearities and auditory perception, particularly for musical stimuli.
To test if a mode-locking neural oscillation model can predict observed nonlinear population responses in the human auditory brainstem.

Main Methods:

Utilized a canonical model of mode-locked neural oscillation.
Compared model predictions with existing human auditory brainstem recordings of responses to musical intervals.
Employed dynamical systems analysis to explore auditory population dynamics.

Main Results:

The mode-locked neural oscillation model successfully predicted complex nonlinear population responses to musical intervals observed in human brainstem recordings.
The model's predictions diverge from traditional delay-based models of auditory processing.
This approach offers insights into the nature of auditory population responses and nonlinear signal processing.

Conclusions:

Mode-locking in neural oscillations provides a viable mechanism for generating the complex nonlinear auditory responses observed in the brainstem.
Dynamical systems analysis can serve as a foundation for generic models of auditory population dynamics.
This framework has the potential to link neural dynamics to the perception of pitch, music, and speech, and inform models of auditory system development.