Computational Auditory Periphery Models: the Return of the Rodent
Morgan Thienpont, F. Deloche, S. Keshishzadeh, D. Kiselev, J. Bourien, J.-L. Puel, B. N. Buran, N. Bramhall, S. Verhulst

TL;DR
This study adapts a computational model of the human auditory periphery for mice and gerbils, enabling cross-species research on sensorineural hearing loss and validating the models against experimental data.
Contribution
It introduces a unified framework for cross-species auditory modeling by adjusting species-specific parameters, bridging animal studies and human diagnostics.
Findings
Models reasonably match experimental auditory nerve data
Simulations of cochlear synaptopathy reflect observed neural response differences
OHC individualization captures group differences but not individual measurements
Abstract
Animal experiments have provided many insights on auditory function, notably in cases of sensorineural hearing loss (SNHL). However, it is not always clear how these findings translate to the human auditory system in clinically relevant contexts. Cross-species computational models of the auditory periphery can help bridge the gap between non-invasive human diagnostics and experimental evidence from animal studies. In this work we adapted a 1-D nonlinear cochlear transmission-line model designed for the human auditory periphery to mouse and gerbil, enabling a single computational framework for cross-species research on SNHL. Species-specific anatomical and physiological parameters - including basilar membrane (BM) length and width, stapes area, middle-ear transfer functions, and frequency range - were adjusted to match each species' auditory periphery and hearing range. Other cochlear…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
