Simulating the response of the mammalian peripheral auditory system.

Computational models of the auditory-nerve response are useful tools for understanding the basic physiological processing underlying auditory perception.       Furthermore, the models may serve as an excellent start point from which to develop physiologically inspired speech processors for auditory prostheses (see below). Part of our work focuses on developing such computational models.

Selected publications

Meddis, R, O’Mard, LPO, and Lopez-Poveda, EA.  (2001).  «A computational algorithm for computing non-linear auditory frequency selectivity,» J. Acoust. Soc. Am. 109 (6): 2852-2861.

Lopez-Poveda, EA, and Meddis, R. (2001).  «A human nonlinear cochlear filterbank,» J. Acoust. Soc. Am. 110 (6): 3107-3118.

Sumner, C, Lopez-Poveda, EA, O’Mard, LPO and Meddis, R.  (2002).  “A revised model of the inner hair cell and auditory nerve complex,» J. Acoust. Soc. Am. 111 (5): 2178-2188.

Lopez-Poveda, E. A., Eustaquio-Martín, A. (2006). «A biophysical model of the inner hair cell: The contribution of potassium current to peripheral compression,» JARO-J. Assoc. Res. Otolaryngol. 7(3), 218-235.