Phenomenological model of auditory nerve population responses to cochlear implant stimulation.

Accommodation Auditory nerve fiber population Cochlear implant Facilitation Phenomenological model Spatial spread

Journal

Journal of neuroscience methods
ISSN: 1872-678X
Titre abrégé: J Neurosci Methods
Pays: Netherlands
ID NLM: 7905558

Informations de publication

Date de publication:
01 07 2021
Historique:
received: 14 08 2020
revised: 26 04 2021
accepted: 29 04 2021
pubmed: 7 5 2021
medline: 1 7 2021
entrez: 6 5 2021
Statut: ppublish

Résumé

Models of auditory nerve fiber (ANF) responses to electrical stimulation are helpful to develop advanced coding for cochlear implants (CIs). A phenomenological model of ANF population responses to CI electrical stimulation with a lower computational complexity compared to a biophysical model would be beneficial to evaluate new CI coding strategies. This study presents a phenomenological model which combines four temporal characteristics of ANFs (refractoriness, facilitation, accommodation and spike rate adaptation) in addition to a spatial spread of the electric field. The model predicts the performances of CI subjects in the melodic contour identification (MCI) experiment. The simulations for the MCI experiment were consistent with CI recipients' experimental outcomes that were not predictable from the electrical stimulation patterns themselves. Previously, no phenomenological population model of ANFs has combined all four aforementioned temporal phenomena. The proposed model would help the further investigations of ANFs responses to different electrical stimulation patterns and comparison of different sound coding strategies in CIs.

Sections du résumé

BACKGROUND
Models of auditory nerve fiber (ANF) responses to electrical stimulation are helpful to develop advanced coding for cochlear implants (CIs). A phenomenological model of ANF population responses to CI electrical stimulation with a lower computational complexity compared to a biophysical model would be beneficial to evaluate new CI coding strategies.
NEW METHOD
This study presents a phenomenological model which combines four temporal characteristics of ANFs (refractoriness, facilitation, accommodation and spike rate adaptation) in addition to a spatial spread of the electric field.
RESULTS
The model predicts the performances of CI subjects in the melodic contour identification (MCI) experiment. The simulations for the MCI experiment were consistent with CI recipients' experimental outcomes that were not predictable from the electrical stimulation patterns themselves.
COMPARISON WITH EXISTING METHODS
Previously, no phenomenological population model of ANFs has combined all four aforementioned temporal phenomena.
CONCLUSIONS
The proposed model would help the further investigations of ANFs responses to different electrical stimulation patterns and comparison of different sound coding strategies in CIs.

Identifiants

pubmed: 33957156
pii: S0165-0270(21)00147-3
doi: 10.1016/j.jneumeth.2021.109212
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

109212

Informations de copyright

Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.

Auteurs

Sonia Tabibi (S)

Department of Information Technology and Electrical Engineering, ETH Zurich (ETHZ), Zurich, Switzerland; University Hospital Zurich, Department of Otorhinolaryngology, Head & Neck Surgery, Zurich, Switzerland; University of Zurich, Zurich, Switzerland. Electronic address: sonia.tabibi@usz.ch.

Jason Boulet (J)

Integrative Neuroscience Discovery and Study, McMaster University, Hamilton, ON, Canada.

Norbert Dillier (N)

University Hospital Zurich, Department of Otorhinolaryngology, Head & Neck Surgery, Zurich, Switzerland; University of Zurich, Zurich, Switzerland.

Ian C Bruce (IC)

Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada.

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