Abstract
Eight computer models of auditory inner hair cells have been evaluated.
From an extensive literature on mammalian species, a subset of well-reported
auditory-nerve properties in response to tone-burst stimuli were
selected and tested for in the models. This subset included tests
for: (a) rate-level functions for onset and steady-state responses;
(b) two-component adaptation; (c) recovery of spontaneous activity;
(d) physiological forward masking; (e) additivity; and (f) frequency-limited
phase locking. As models of hair-cell functioning are increasingly
used as the front end of speech-recognition devices, the computational
efficiency of each model was also considered. The evaluation shows
that no single model completely replicates the subset of tests. Reasons
are given for our favoring the Meddis model R. Meddis, J. Acoust.
Soc. Am. 83, 1056-1063 (1988) both in terms of its good agreement
with physiological data and its computational efficiency. It is concluded
that this model is well suited to provide the primary input to speech
recognition devices and models of central auditory processing.
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