An important goal of research on the
cognitive neuroscience of
decision-making is to produce a comprehensive model of behavior that
flows from
perception to action with all of the intermediate steps defined. To understand the mechanisms of
perceptual decision-making for an auditory discrimination experiment, we connected a large-scale, neurobiologically realistic auditory
pattern recognition model to a three-layer
decision-making model and simulated an auditory delayed match-to-sample (DMS) task. In each trial of our simulated DMS task, pairs of stimuli were compared each stimulus being a sequence of three frequency-modulated tonal-contour segments, and a "match" or "nonmatch" button was pressed. The model's simulated response times and the different patterns of
neural responses (transient, sustained, increasing) are consistent with experimental data and the simulated
neurophysiological activity provides insights into the
neural interactions from
perception to action in the auditory DMS task.
