A Model of Electrically Stimulated Auditory Nerve Fiber Responses with Peripheral and Central Sites of Spike Generation

Suyash Narendra Joshi, Torsten Dau, Bastian Epp

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    Abstract

    A computational model of cat auditory nerve fiber (ANF) responses to electrical stimulation is presented. The model assumes that (1) there exist at least two sites of spike generation along the ANF and (2) both an anodic (positive) and a cathodic (negative) charge in isolation can evoke a spike. A single ANF is modeled as a network of two exponential integrateand-fire point-neuron models, referred to as peripheral and central axons of the ANF. The peripheral axon is excited by the cathodic charge, inhibited by the anodic charge, and exhibits longer spike latencies than the central axon; the central axon is excited by the anodic charge, inhibited by the cathodic charge, and exhibits shorter spike latencies than the peripheral axon. The model also includes subthreshold and suprathreshold adaptive feedback loops which continuously modify the membrane potential and can account for effects of facilitation, accommodation, refractoriness, and spike-rate adaptation in ANF. Although the model is parameterized using data for either single or paired pulse stimulation with monophasic rectangular pulses, it correctly predicts effects of various stimulus pulse shapes, stimulation pulse rates, and level on the neural response statistics. The model may serve as a framework to explore the effects of different stimulus parameters on psychophysical performance measured in cochlear implant listeners.
    Original languageEnglish
    JournalJ A R O
    Volume18
    Issue number2
    Pages (from-to)323-342
    Number of pages20
    ISSN1525-3961
    DOIs
    Publication statusPublished - 2017

    Bibliographical note

    D 2017 The Author(s). This article is published with open access at Springerlink.com

    Keywords

    • Electrical stimulation
    • Auditory nerve
    • Cochlear implants
    • Computational Models
    • Integrate-and-fire neuron

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