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Description
Amplitude- and latency-growth functions of auditory evoked potentials are classical measures of peripheral auditory function, yet existing datasets suffer from insufficient age control, small sample sizes, and insufficiently detailed stimulus calibration — all of which limit their precision for validating computational models. This study provides a rigorously controlled reference dataset by simultaneously recording compound action potentials (CAPs) using tympanic membrane electrodes and auditory brainstem responses (ABRs) in twenty young, normal-hearing adults across a wide stimulus intensity range, using both clicks and level-specific chirps. Chirp stimuli produced consistently larger amplitudes and improved peak detectability compared to clicks, particularly at low-to-moderate intensities, while ABR wave-V latencies remained stable across intensities as intended by design. Robust, level-dependent amplitude- and latency-growth functions were obtained for both cochlear and brainstem responses, with notably lower inter-subject variability in latency than previously reported. Interestingly, ABR wave V can be well approximated as a linear transform of CAP N1, supporting the validity of convolution-based frameworks for modelling retrocochlear signal processing in normal-hearing ears. Individualized unitary responses derived from the data reproduced key waveform features, but systematically underestimated latency slopes — pointing to specific limitations in current auditory nerve model front ends that this dataset can help address. These results feed directly into ongoing work on the auditory evoked potential modelling framework developed by Temboury-Gutierrez (also presented at FA 2026), and can be related to the auditory phenotyping (AudPhen-DK) project (presented at FA 2026 by Encina-Llamas), which aim to develop tools towards precision audiological diagnostics.