The representation of fuzzy model for auditory brainstem response to one syllable speech stimuli /da/

In this paper a nonlinear fuzzy model was introduced to reveal the dynamics of auditory brainstem response to one syllable speech stimuli /da/, in normal Persian speaking subjects. This model represents the input-output behavior of the brainstem in generating cABR (complex auditory brainstem response) to consonant-vowel /da/. Fuzzy models have been successfully applied to the identification of complex nonlinear dynamical systems such as biological process due to their ability to overcome the vagueness and uncertainty of these systems. The ability of model in predicting cABR signals using fuzzy rules that describing the dynamics of cABRs to /da/ was validated. The total error achieved by cross-validation of model is 0.1329 with variance of 9.02×10^-4. Identification of the nonlinear behavior of auditory system can help to understand the brainstem function in encoding acoustic cues in normal subjects.