Аннотация
This paper describes a quantitative model for signal processing in
the auditory system. The model combines a series of preprocessing
stages with an optimal detector as the decision device. The present
paper gives a description of the various preprocessing stages and
of the implementation of the optimal detector. The output of the
preprocessing stages is a time-varying activity pattern to which
‘‘internal noise’’ is added. In the decision process, a stored temporal
representation of the signal to be detected (template) is compared
with the actual activity pattern. The comparison amounts to calculating
the correlation between the two temporal patterns and is comparable
to a ‘‘matched filtering’’ process. The detector itself derives the
template at the beginning of each simulated threshold measurement
from a suprathreshold value of the stimulus. The model allows one
to estimate thresholds with the same signals and psychophysical procedures
as those used in actual experiments. In the accompanying paper Dau
et al., J. Acoust. Soc. Am. 99, 3623–3631
(1996) data obtained for human observers are compared with the optimal-detector
model for various masking conditions.
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