Abstract
A computational model of nervous activity in the auditory nerve, cochlear
nucleus, and inferior colliculus is presented and evaluated in terms
of its ability to simulate psychophysically-measured pitch perception.
The model has a similar architecture to previous autocorrelation
models except that the mathematical operations of autocorrelation
are replaced by the combined action of thousands of physiologically
plausible neuronal components. The evaluation employs pitch stimuli
including complex tones with a missing fundamental frequency, tones
with alternating phase, inharmonic tones with equally spaced frequencies
and iterated rippled noise. Particular attention is paid to differences
in response to resolved and unresolved component harmonics. The results
indicate that the model is able to simulate qualitatively the related
pitch-perceptions. This physiological model is similar in many respects
to autocorrelation models of pitch and the success of the evaluations
suggests that autocorrelation models may, after all, be physiologically
plausible.
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