Abstract
A time-varying model auditory-nerve (AN) fiber based on Tan and Carney (2003) was developed on a digital signal processor (DSP) platform to simulate AN responses in real-time, using the Motorola DSP56367, a 150 MIPS audio processor. To understand the schemes employed by the brain for decoding different sound stimulus parameters, it is first essential to get an accurate representation of peripheral (external, middle, and inner ear) responses that in turn excite the higher levels along the auditory pathway. Though present computational models predict essential AN response properties, their use in testing mechanisms hypothesized to occur at higher levels of the auditory pathway is limited due to the large processing times that they require. This is because such nonlinear models require computational implementation in the time domain, with time-step-by-time-step changes in model parameters as the bandwidth and gain of the inner ear change with stimulus fluctuations. The DSP-based model presented here aims to speed up inquiries related to auditory signal processing strategies at higher levels by providing a real-time solution to AN fiber simulations. Details of the implementation and some prospective auditory-research utilities will be discussed. [Work supported by NIDCD R43-DC006591 (JD, SGI) and R01-DC001641 (LHC, SGI).]
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