Predicting formant-frequency discrimination in noise (Tan and Carney 2006)


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Accession:126598
"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. ..."
Reference:
1 . Tan Q, Carney LH (2006) Predictions of formant-frequency discrimination in noise based on model auditory-nerve responses. J Acoust Soc Am 120:1435-45 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type:
Brain Region(s)/Organism:
Cell Type(s): Auditory nerve;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: C or C++ program (web link to model);
Model Concept(s): Coincidence Detection;
Implementer(s): Tan, Qing ;
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