"To better understand how the auditory system extracts speech signals in the presence of noise, discrimination thresholds for the second formant frequency were predicted with simulations of auditory-nerve responses. These predictions employed either average-rate information or combined rate and timing information, and either populations of model fibers tuned across a wide range of frequencies or a subset of fibers tuned to a restricted frequency range. In general, combined temporal and rate information for a small population of model fibers tuned near the formant frequency was most successful in replicating the trends reported in behavioral data for formant-frequency discrimination. ..."
Cell Type(s): Auditory nerve
Model Concept(s): Coincidence Detection; Audition
Simulation Environment: C or C++ program (web link to model)
Implementer(s): Tan, Qing
References:
Tan Q, Carney LH. (2006). Predictions of formant-frequency discrimination in noise based on model auditory-nerve responses. The Journal of the Acoustical Society of America. 120 [PubMed]