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

The Cochlea01:13

The Cochlea

The cochlea is a coiled structure in the inner ear that contains hair cells—the sensory receptors of the auditory system. Sound waves are transmitted to the cochlea by small bones attached to the eardrum called the ossicles, which vibrate the oval window that leads to the inner ear. This causes fluid in the chambers of the cochlea to move, vibrating the basilar membrane.
Hearing01:31

Hearing

When we hear a sound, our nervous system is detecting sound waves—pressure waves of mechanical energy traveling through a medium. The frequency of the wave is perceived as pitch, while the amplitude is perceived as loudness.

You might also read

Related Articles

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

Sort by
Same author

Benchmarking Probabilistic Time Series Forecasting Models on Neural Activity.

ArXiv·2025
Same author

International expert consensus on gene therapy for hereditary hearing loss: Based on clinical trials.

Med (New York, N.Y.)·2025
Same author

DB-OTO Gene Therapy for Inherited Deafness.

The New England journal of medicine·2025
Same author

Electrophysiological Responses to Spectral Ripple Envelope Phase Inversion in 3-Month-Olds and Adults.

Ear and hearing·2025
Same author

Global and local origins of trial-to-trial spike count variability in visual cortex.

bioRxiv : the preprint server for biology·2025
Same author

Axon initial segment plasticity caused by auditory deprivation degrades time difference sensitivity in a model of neural responses to cochlear implants.

Journal of computational neuroscience·2025
Same journal

Hierarchical learning creates invariant schema within plastic neural networks.

Journal of computational neuroscience·2026
Same journal

Intrinsic chaos control in cortical circuits: A minimal E-I-M rate model for primary visual cortex.

Journal of computational neuroscience·2026
Same journal

Modeling developmental spiking behavior driven by ionic current dynamics of mouse and human inner hair cells using a calcium-enhanced Izhikevich framework.

Journal of computational neuroscience·2026
Same journal

A biophysically grounded model of glutamatergic synaptic transmission integrating glutamate transport, receptor kinetics, and electrotonic effects.

Journal of computational neuroscience·2026
Same journal

When can neuronal activity-dependent homeostatic plasticity maintain circuit-level properties?

Journal of computational neuroscience·2026
Same journal

A charge conservative finite volume discretization of the Hodgkin-Huxley model.

Journal of computational neuroscience·2026
See all related articles

Related Experiment Video

Updated: Jun 15, 2026

Behavioral Determination of Stimulus Pair Discrimination of Auditory Acoustic and Electrical Stimuli Using a Classical Conditioning and Heart-rate Approach
10:50

Behavioral Determination of Stimulus Pair Discrimination of Auditory Acoustic and Electrical Stimuli Using a Classical Conditioning and Heart-rate Approach

Published on: June 6, 2012

Encoding and decoding amplitude-modulated cochlear implant stimuli--a point process analysis.

Joshua H Goldwyn1, Eric Shea-Brown, Jay T Rubinstein

  • 1Department of Applied Mathematics, University of Washington, Seattle, WA, USA. jgoldwyn@uw.edu

Journal of Computational Neuroscience
|February 24, 2010
PubMed
Summary
This summary is machine-generated.

This study reveals that auditory nerve cells primarily encode cochlear implant (CI) speech processor modulation information through spike timing sequences. This finding is crucial for improving speech perception in CI users.

More Related Videos

Optogenetic Stimulation of the Auditory Nerve
10:53

Optogenetic Stimulation of the Auditory Nerve

Published on: October 8, 2014

Related Experiment Videos

Last Updated: Jun 15, 2026

Behavioral Determination of Stimulus Pair Discrimination of Auditory Acoustic and Electrical Stimuli Using a Classical Conditioning and Heart-rate Approach
10:50

Behavioral Determination of Stimulus Pair Discrimination of Auditory Acoustic and Electrical Stimuli Using a Classical Conditioning and Heart-rate Approach

Published on: June 6, 2012

Optogenetic Stimulation of the Auditory Nerve
10:53

Optogenetic Stimulation of the Auditory Nerve

Published on: October 8, 2014

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Auditory Physiology

Background:

  • Cochlear implant (CI) speech processors use amplitude-modulated electrical pulse trains to stimulate the auditory nerve.
  • Understanding how auditory nerve cells encode this modulation is key to improving CI function and speech perception.

Purpose of the Study:

  • To analyze simulated auditory nerve responses to CI stimuli using a point process model.
  • To investigate how spike timing and firing rate encode modulation information.
  • To develop a neural decoding method to predict psychophysical trends in CI listeners.

Main Methods:

  • Simulated auditory nerve responses to amplitude-modulated stimuli.
  • Ideal observer model for detecting amplitude modulation.
  • Neural decoding method incorporating spike-timing jitter and phase locking analysis.

Main Results:

  • Modulation information is predominantly encoded in the sequence of spike times.
  • An ideal observer's performance did not align with psychophysical data.
  • A neural decoding method successfully predicted modulation detection thresholds' dependence on frequency and level.

Conclusions:

  • Spike timing is the primary mechanism for encoding modulation in auditory nerve responses to CI stimuli.
  • Current models need refinement to fully capture high carrier pulse rate effects.
  • The developed framework offers a basis for future auditory nerve response modeling.