Sensorineural hearing loss (SNHL) affects one out of three older than 65, yet imaging methods have only recently become sensitive enough to isolate the specific elements which constitute SNHL (e.g. synaptic and hair-cell damage). Because these elements have different functional roles for hearing, their damage needs to be individually characterized and taken into account in therapeutic interventions. Differential diagnosis is possible in controlled animal experiments via post-mortem histology, but is much harder to achieve in humans where unknown mixtures of SNHL need to be quantified non-invasively. To translate findings from the animal domain to humans, we adopt a computational model of the auditory periphery which integrates the histopathology and physiology of hearing to predict how human physiological responses are affected by SNHL. We focus on simultaneously modeling the neural generators of auditory evoked potentials, otoacoustic emissions and the middle-ear-muscle-reflex. A single framework which connects the generators of all three physiological responses does not exist but forms the scientific breakthrough opportunity, as data from several animal studies on SNHL can be combined to identify and study candidate physiological markers for human diagnostics. The resulting model will be used to (i) simulate and test how single SNHL profiles affect physiological responses differently, and (ii), study how SNHL affects sound processing along the ascending auditory pathway.