Abstract
A computational model of part of the mammalian auditory nervous system is described. This consists of three scissile stages simulating afferent neural processes within the cochlea, auditory nerve, and dorsal cochlear nucleus (DCN). The model derives its input from a 128‐channel cochlear filter bank. The artificial neuron units employed are simple encoder models whose responses and interconnections follow closely those reported in recent anatomical and physiological studies. The activity of the low‐frequency DCN projection units in the model to three (labial, alveolar, and velar) synthetic voice onset time (VOT) stimulus series is shown to mimic the behavioral responses of human and chinchilla subjects [P. K. Kuhl and J. D. Miller, J. Acoust. Soc. Am. 63, 905–917 (1978)] to these stimuli. The results suggest that DCN processing may have an important role in the perception of voicing contrasts. [Work supported by SERC and NICHD Contract N01‐HD‐5‐2910.]
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