Literature DB >> 8120244

A computational model of the auditory periphery for speech and hearing research. I. Ascending path.

C Giguère1, P C Woodland.   

Abstract

A dual analog/digital model of the ascending path through the entire auditory periphery is described. The analog representation consists of the concatenation of electrical circuit submodels for (a) the diffraction of the external ear system; (b) the propagation through the concha and auditory canal; (c) the transmission through the middle ear; (d) the basilar membrane motion and cochlear hydrodynamics; (e) the fast motile mechanism of the outer hair cells; and (f) the neural transduction process of the inner hair cells. Time-domain numerical solutions are obtained by applying the technique of wave digital filtering onto the resulting analog circuit. The present version of the model reproduces the sound pressure gain at the eardrum for lateral sound incidence, the vibration characteristics of the stapes, and the low-frequency attenuation provided by the stapedial muscle. Source elements in the cochlear module provide level-dependent basilar membrane tuning curves leading to dynamic compression of input signals near the characteristic frequency/place. The output is the tonotopic distribution of firing activity in the auditory nerve. A companion article addresses the modeling of the descending paths [C. Giguère and P. C. Woodland, J. Acoust, Soc. Am. 94, 343-349 (1993)].

Entities:  

Mesh:

Year:  1994        PMID: 8120244     DOI: 10.1121/1.408366

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  5 in total

1.  Influence of inhibitory inputs on rate and timing of responses in the anteroventral cochlear nucleus.

Authors:  Yan Gai; Laurel H Carney
Journal:  J Neurophysiol       Date:  2008-01-16       Impact factor: 2.714

2.  A Dynamic Compressive Gammachirp Auditory Filterbank.

Authors:  Toshio Irino; Roy D Patterson
Journal:  IEEE Trans Audio Speech Lang Process       Date:  2006-11

3.  Post-processing analysis of transient-evoked otoacoustic emissions to detect 4 kHz-notch hearing impairment--a pilot study.

Authors:  Giovanna Zimatore; Anna Rita Fetoni; Gaetano Paludetti; Marta Cavagnaro; Maria Vittoria Podda; Diana Troiani
Journal:  Med Sci Monit       Date:  2011-06

4.  Fatigue Modeling via Mammalian Auditory System for Prediction of Noise Induced Hearing Loss.

Authors:  Pengfei Sun; Jun Qin; Kathleen Campbell
Journal:  Comput Math Methods Med       Date:  2015-11-24       Impact factor: 2.238

5.  A hardware model of the auditory periphery to transduce acoustic signals into neural activity.

Authors:  Takashi Tateno; Jun Nishikawa; Nobuyoshi Tsuchioka; Hirofumi Shintaku; Satoyuki Kawano
Journal:  Front Neuroeng       Date:  2013-11-26
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.