Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Auditory Pathway01:15

Auditory Pathway

5.4K
Auditory pathways constitute the complex neural circuits responsible for transmitting and interpreting auditory information from the peripheral auditory system to the brain. Sound waves are initially captured by the outer ear, funneled through the ear canal, and reach the tympanic membrane (eardrum). These vibrations are transmitted via the middle ear's ossicles to the inner ear's cochlea.
When viewed cross-sectionally, the cochlea reveals the scala vestibuli and scala tympani flanking...
5.4K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Acoustic Scene-Aware Processing and Auditory Model-Based Compensation Strategies.

Journal of the Association for Research in Otolaryngology : JARO·2026
Same author

Using more realistic speech material to enhance ecological validity in the Everyday Conversational Danish Sentence Test.

The Journal of the Acoustical Society of America·2026
Same author

Phoneme Perception in Children With Bilateral Cochlear Implants or Hearing Aids in Quiet, Noise, and Reverberation.

Ear and hearing·2026
Same author

A comparison of hearing abilities in memory clinic patients with mild cognitive impairment and cognitively intact older adults.

Journal of Alzheimer's disease : JAD·2026
Same author

Investigating the impact of background noise on collaborative decision-making using an individual-weighted voting model.

Cognitive research: principles and implications·2026
Same author

Predicting Spectro-Temporal Modulation Detection Thresholds With a Functional Auditory Model.

Trends in hearing·2026
Same journal

High-resolution depth estimation for multiple wideband sources in deep sea via sparse Bayesian learninga).

The Journal of the Acoustical Society of America·2026
Same journal

Depression markers in speech: An approach based on tract variables dynamics.

The Journal of the Acoustical Society of America·2026
Same journal

The oyster toadfish (Opsanus tau) alters active and diurnal calling amid vessel noise in New York City.

The Journal of the Acoustical Society of America·2026
Same journal

Experimental noise characterisation of phase-locked tandem-rotor in edgewise flight.

The Journal of the Acoustical Society of America·2026
Same journal

The tune-text-temporal synergy: Prosodic effects of final segmental weakening in Neapolitan.

The Journal of the Acoustical Society of America·2026
Same journal

Monitoring vessel movement above critical offshore infrastructure using distributed acoustic sensing.

The Journal of the Acoustical Society of America·2026
See all related articles

Related Experiment Video

Updated: Jul 1, 2025

Infant Auditory Processing and Event-related Brain Oscillations
06:34

Infant Auditory Processing and Event-related Brain Oscillations

Published on: July 1, 2015

16.4K

Predicting early auditory evoked potentials using a computational model of auditory-nerve processing.

Miguel Temboury-Gutierrez1, Gerard Encina-Llamas2,3, Torsten Dau1,2

  • 1Hearing Systems Section, Department of Health Technology, Technical University of Denmark, Kongens Lyngby, DK-2800, Denmark.

The Journal of the Acoustical Society of America
|March 6, 2024
PubMed
Summary
This summary is machine-generated.

This study enhances auditory evoked potential (AEP) modeling by improving the auditory-nerve (AN) model. The revised framework better simulates auditory brainstem responses (ABRs) and frequency-following responses (FFRs), aiding in diagnosing auditory pathologies.

More Related Videos

Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice
08:51

Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice

Published on: May 10, 2019

11.7K
Quantitative Assessment of Cortical Auditory-tactile Processing in Children with Disabilities
09:38

Quantitative Assessment of Cortical Auditory-tactile Processing in Children with Disabilities

Published on: January 29, 2014

10.8K

Related Experiment Videos

Last Updated: Jul 1, 2025

Infant Auditory Processing and Event-related Brain Oscillations
06:34

Infant Auditory Processing and Event-related Brain Oscillations

Published on: July 1, 2015

16.4K
Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice
08:51

Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice

Published on: May 10, 2019

11.7K
Quantitative Assessment of Cortical Auditory-tactile Processing in Children with Disabilities
09:38

Quantitative Assessment of Cortical Auditory-tactile Processing in Children with Disabilities

Published on: January 29, 2014

10.8K

Area of Science:

  • Auditory Neuroscience
  • Computational Auditory Modeling
  • Electrophysiology

Background:

  • Non-invasive auditory evoked potentials (AEPs) are vital for diagnosing auditory pathology.
  • Existing computational models of AEPs show discrepancies with measured responses, particularly concerning cochlear degeneration.

Purpose of the Study:

  • To present an enhanced computational framework for modeling AEPs.
  • To reevaluate previous findings using an improved auditory-nerve (AN) model.
  • To investigate the relationship between cochlear processing and brainstem potentials.

Main Methods:

  • Developed an enhanced AEP modeling framework with an improved nonlinear AN model.
  • Simulated auditory brainstem responses (ABRs) and frequency-following responses (FFRs) using transient and sustained stimuli.
  • Compared simulation results with physiological responses in animals.

Main Results:

  • The enhanced model accurately simulated ABRs and FFRs across stimulation levels.
  • Wave-V latencies remained shorter than physiological measurements, consistent with the original model.
  • The revised framework demonstrated a more accurate balance of auditory-nerve fiber contributions in FFRs.

Conclusions:

  • Cochlear processing significantly influences brainstem potentials.
  • The enhanced framework provides a valuable tool for assessing human AN models.
  • This model can simulate AEPs for various peripheral auditory pathologies, supporting research and clinical applications.