Auditory Nerve Representation as A Front-end for Speech Recognition in A Noisy Environment

We describe here a computational model based upon the temporal characteristics of the information in the auditory nerve fiber firing patterns. The model produces a frequency domain representation of the input signal in terms of the ensemble histogram of the inverse of the interspike intervals, measured from firing patterns generated by a simulated nerve fiber array.