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

Action Potential01:31

Action Potential

7.9K
Neurons communicate by firing action potentials—the electrochemical signal that is propagated along the axon. The signal results in the release of neurotransmitters at axon terminals, thereby transmitting information to the nervous system. An action potential is a specific "all-or-none" change in membrane potential that results in a rapid spike in voltage.
Membrane potential in neurons
Neurons typically have a resting membrane potential of about -70 millivolts (mV). When they...
7.9K
The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

3.2K
A postsynaptic neuron usually receives numerous impulses from several other presynaptic neurons. The axon hillock of the postsynaptic neuron integrates all these signals and determines the likelihood of firing an action potential.
Sometimes a single EPSP is strong enough to induce an action potential in the postsynaptic neuron. However, multiple presynaptic inputs must often create EPSPs around the same time for the postsynaptic neuron to be sufficiently depolarized to fire an action potential....
3.2K

You might also read

Related Articles

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

Sort by
Same author

Design of efficient high-order immersed metagratings using an evolutionary algorithm.

Optics express·2026
Same author

Incorporating softmax in psychophysical detection models for normal and electric hearing.

MethodsX·2026
Same author

The current status and future of using computational models to individually optimise cochlear implant stimulation.

Expert review of medical devices·2026
Same author

Leveraging spatial cues from cochlear implant microphones to efficiently enhance speech separation in naturalistic listening scenes.

Scientific reports·2025
Same author

The Influence of Speech Material, Intelligibility, and Masker Type on the Pupil Dilation Response in Cochlear Implant Users.

Ear and hearing·2025
Same author

From spikes to speech: NeuroVoc - A biologically plausible vocoder framework for auditory perception and cochlear implant simulation.

Hearing research·2025

Related Experiment Video

Updated: Jun 27, 2025

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

1.7K

Biophysics-inspired spike rate adaptation for computationally efficient phenomenological nerve modeling.

Jacob de Nobel1, Savine S M Martens2, Jeroen J Briaire2

  • 1Leiden Institute of Advanced Computer Science, Niels Bohrweg 1, Leiden, Netherlands.

Hearing Research
|May 1, 2024
PubMed
Summary
This summary is machine-generated.

The new PHAST+ model efficiently simulates auditory nerve fiber responses to cochlear implant electrical stimulation. It improves upon previous models for prolonged neural activity, enabling real-time simulations.

Keywords:
Auditory nerveCochlear implantsEvolutionary algorithmsNeural modelOptimizationSpike rate adaptation

More Related Videos

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
08:08

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

Published on: June 24, 2015

11.5K
Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution
08:48

Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution

Published on: September 5, 2012

11.9K

Related Experiment Videos

Last Updated: Jun 27, 2025

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

1.7K
Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
08:08

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

Published on: June 24, 2015

11.5K
Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution
08:48

Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution

Published on: September 5, 2012

11.9K

Area of Science:

  • Computational Neuroscience
  • Biophysics
  • Auditory Neurophysiology

Background:

  • Auditory nerve fiber behavior is crucial for understanding cochlear implant function.
  • Simulating neural responses to electrical stimulation is computationally intensive.
  • Existing models face challenges in accurately representing prolonged neural activity.

Purpose of the Study:

  • Introduce and evaluate the PHAST+ model for simulating auditory nerve fiber responses.
  • Improve computational efficiency for extended stimulus duration simulations.
  • Enhance the accuracy of neural response modeling in cochlear implant research.

Main Methods:

  • Developed the PHAST+ model incorporating a leaky integrator for accommodation and adaptation.
  • Utilized a computational framework for simulating auditory nerve fiber behavior.
  • Validated the model against single-fiber animal data with various electrical stimuli.

Main Results:

  • PHAST+ demonstrates effectiveness across diverse stimuli, including variable amplitude and rate pulse trains.
  • The model shows superior performance compared to the predecessor PHAST, especially for prolonged neural responses.
  • PHAST+ accurately predicts spike rate decay and exhibits good performance on vector strength and adaptation measures.

Conclusions:

  • PHAST+ offers a computationally efficient and accurate method for simulating neural responses to cochlear implant stimulation.
  • The model's ability to perform real-time simulations over extended periods has significant implications for future research.
  • PHAST+ facilitates the evaluation of novel speech-coding strategies and psychophysical experiments for cochlear implants.