# Developing and Testing Models of the Auditory System with and without Hearing Loss

> **NIH NIH R01** · UNIVERSITY OF ROCHESTER · 2020 · $327,250

## Abstract

This proposal presents plans to develop and test a new model for the processing of acoustic cues in
both psychophysical tasks and real-world hearing. Masking paradigms are typically interpreted in the context of
two models: The power-spectrum model is based on energy in the responses of one or more band-pass filters
that represent peripheral tuning. The envelope-power-spectrum model is based on the responses of a bank of
modulation filters. These popular models, however, fail to explain robust performance in a number of
psychophysical tasks, especially roving- or equalized-level, and roving- or equalized-envelope-energy tasks.
The continued use of these models is largely due to a lack of viable alternatives. Here, we propose a new,
alternative model for masked detection and spectral coding that provides a mechanistic explanation for a
number of psychophysical results, for listeners with or without hearing loss.
 Building upon our recent studies of envelope-related cues in masked detection, our proposal focuses
on the role of neural-fluctuation cues in the responses of auditory-nerve fibers, and ultimately on how these
cues are represented by modulation-tuned neurons in the midbrain. These cues are robust in the healthy ear
but, because they are strongly dependent upon peripheral nonlinearities, they are substantially degraded in
most common types of hearing loss. We will make detailed measurements on the use of envelope vs. energy
cues by individual listeners as a function of frequency and hearing thresholds. These results will provide
individualized models that will be used to predict thresholds in specific masking and discrimination tasks.
 We will use computational, physiological and psychophysical tools to test a diotic model of masked
detection, focusing on two classic paradigms: notched-noise and forward-masking tasks. These
psychophysical tools have been used extensively to characterize tuning bandwidth, compression, and temporal
processing in listeners with and without hearing loss. We will re-examine these tasks with neural fluctuation-
based representations. Our preliminary results show that the contrast in fluctuations across peripheral
channels establishes a representation of stimulus features at the level of the midbrain that is robust in noise
across a wide range of levels, thus addressing the primary challenges of roving-parameter paradigms. These
cues are particularly strong near spectral slopes, and thus warrant consideration for other stimulus features
with sharp spectral slopes, such as fricative consonants and pinna cues. We therefore also propose to extend
our dichotic model based on interaural differences in neural fluctuations to the spectral slopes of pinna
cues, which code sound location and externalization. Our preliminary work indicates that neural-fluctuation
cues associated with the diotic and dichotic stimuli occur in the modulation frequency range where the majority
of midbrain neurons are tuned. Consideration of th...

## Key facts

- **NIH application ID:** 9824576
- **Project number:** 5R01DC010813-10
- **Recipient organization:** UNIVERSITY OF ROCHESTER
- **Principal Investigator:** Laurel H. Carney
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $327,250
- **Award type:** 5
- **Project period:** 2010-04-01 → 2020-11-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9824576

## Citation

> US National Institutes of Health, RePORTER application 9824576, Developing and Testing Models of the Auditory System with and without Hearing Loss (5R01DC010813-10). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/9824576. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*