Abstract

Several aspects of two-tone suppression in auditory-nerve fibers have been reproduced in a nonlinear computational model for motion of the basilar membrane. In the model, a distinction is made between mechanical nonlinearity (related in the model to membrane velocity) and neural excitatory signal (related in the model to first or second spatial derivative of membrane displacement). For f1 (frequency of exciting tone) equal to CF (characteristic frequency), the model successfully reproduces the physiologically observed distinction between f2 (frequency of suppressing tone) greater than CF and f2<CF: For f2≳CF suppression is related to the intensity ratio of suppressor to excitor, while for f2<CF it is related approximately to suppressor intensity. The model exhibits nonmonotonic increase of response with intensity increase of a two-tone input. The results can be viewed in terms of an ’’attenuating power’’ for the suppressing tone. Extraction by Fourier series analysis of the f1 and f2 components of response to a two-tone input reveals features of the system that should be amenable to confirmation in future electrophysiological experiments.

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