Signal Processing, Pattern Formation and Adaptation in Neural Oscillators
Abstract
In this project, we developed a theoretical framework for auditory neural processing and auditory perception. We modeled the auditory system as a dynamical system consisting of oscillatory networks, and auditory perception as stable dynamic patterns formed in the networks in response to acoustic signals. We developed GrFNNs, generic models that capture the neurocomputational properties of a family of neurophysiological models using bifurcation theory. We conducted theoretical analyses of GrFNNs and made significant progress in understanding the signal processing, pattern formation and plasticity in them. We developed three models that exploit these properties to model important aspects of auditory neurophysiology and auditory perception: a model of cochlear dynamics, a model of mode-locked neural oscillation in the human auditory brainstem, and a model of cortical phase locking to auditory rhythms. Future modeling efforts based on canonical dynamical systems could bring us closer to understanding fundamental mechanisms of hearing, communication, and auditory system development
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 29, 2016
- Accession Number
- AD1022812
Entities
People
- Edward Large