The goal of the present paper is to relate the coding of amplitude mod
ulation (AM) in the auditory pathway to the behavioral detection perfo
rmance. To address this issue, the detectability of AM was estimated b
y modelling a single neuron located in the central nucleus of the infe
rior colliculus (IC). The computational model is based on cochlear nuc
leus responses and a coincidence detection mechanism. The model replic
ated the main feature of the neuronal AM transfer function, namely a b
andpass function. The IC-unit model was initially tuned to a 200-Hz mo
dulation frequency. A single neurometric function for AM detection at
this modulation frequency was generated using a 2-interval, 2-alternat
ive forced-choice paradigm. On each trial of the experiments, AM was t
aken to be correctly detected by the model if the number of spikes in
response to the modulated signal exceeded the number of spikes in an o
therwise identical interval that contained an unmodulated signal. Psyc
hometric functions for 4 human subjects were also measured under the s
ame stimulus conditions. Comparison of the simulated neurometric and p
sychometric functions suggested that there was sufficient information
in the rate response of an IC neuron well-tuned in the modulation-freq
uency domain to support behavioral detection performance.