ArticleThe Journal of the Acoustical Society of America2023
Computational modeling of the human compound action potential.
Article in The Journal of the Acoustical Society of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Evaluating Human Auditory Nerve (AN) and Brainstem Function Through Level-Dependent Chirps and Predicted AN Firing Distributions.Journal of the Association for Research in Otolaryngology : JARO · 2026Article
- Simulation insights on the compound action potential in multifascicular nerves.PLoS computational biology · 2025Article
- Evidence for the Auditory Nerve Generating Envelope Following Responses When Measured from Eardrum Electrodes.Journal of the Association for Research in Otolaryngology : JARO · 2025Article
- Estimation of Cochlear Frequency Selectivity Using a Convolution Model of Forward-Masked Compound Action Potentials.Journal of the Association for Research in Otolaryngology : JARO · 2024Article
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Authors and funding
2 authors.
Funding
Abstract
The auditory nerve (AN) compound action potential (CAP) is an important tool for assessing auditory disorders and monitoring the health of the auditory periphery during surgical procedures. The CAP has been mathematically conceptualized as the convolution of a unit response (UR) waveform with the firing rate of a population of AN fibers. Here, an approach for predicting experimentally recorded CAPs in humans is proposed, which involves the use of human-based computational models to simulate AN activity. CAPs elicited by clicks, chirps, and amplitude-modulated carriers were simulated and compared with empirically recorded CAPs from human subjects. In addition, narrowband CAPs derived from noise-masked clicks and tone bursts were simulated. Many morphological, temporal, and spectral aspects of human CAPs were captured by the simulations for all stimuli tested. These findings support the use of model simulations of the human CAP to refine existing human-based models of the auditory periphery, aid in the design and analysis of auditory experiments, and predict the effects of hearing loss, synaptopathy, and other auditory disorders on the human CAP.
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Registered trials
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