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

You might also read

Related Articles

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

Sort by
Same author

Differential Intrinsic Firing Properties in Sustained and Transient Mouse αRGCs Match Their Light Response Characteristics and Persist during Retinal Degeneration.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2024
Same author

Auditory nerve fiber excitability for alternative electrode placement in the obstructed human cochlea: electrode insertion in scala vestibuli versus scala tympani.

Journal of neural engineering·2024
Same author

Using Patient-Specific 3D Modeling and Simulations to Optimize Microwave Ablation Therapy for Liver Cancer.

Cancers·2024
Same author

Avoidance of axonal stimulation with sinusoidal epiretinal stimulation.

Journal of neural engineering·2024
Same author

A simple model considering spiking probability during extracellular axon stimulation.

PloS one·2022
Same author

Impact of electrode position on the dynamic range of a human auditory nerve fiber.

Journal of neural engineering·2022
Same journal

Developing a binary communication protocol between biological neural networks using virtual white matter.

Journal of neural engineering·2026
Same journal

Spatiotemporally distinctive astrocytic and neuronal responses to repetitive intracortical microstimulation.

Journal of neural engineering·2026
Same journal

A neural mass modelling framework for evaluating EEG source localisation of seizure activity.

Journal of neural engineering·2026
Same journal

Functional and effective connectivity methods from SEEG for characterizing epileptogenic networks in refractory epilepsy: a comprehensive review and future directions.

Journal of neural engineering·2026
Same journal

Online decoding of rat self-paced locomotion speed from EEG using recurrent neural networks.

Journal of neural engineering·2026
Same journal

The seizure embedding map: A spatio-temporal transformer for comparing patients by ictal intracranial EEG features at scale.

Journal of neural engineering·2026
See all related articles

Related Experiment Video

Updated: Sep 29, 2025

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
14:14

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Published on: August 12, 2018

9.0K

A finite element method framework to model extracellular neural stimulation.

Andreas Fellner1, Amirreza Heshmat1,2, Paul Werginz1,3

  • 1Institute for Analysis and Scientific Computing, Vienna University of Technology, Vienna, Austria.

Journal of Neural Engineering
|March 23, 2022
PubMed
Summary
This summary is machine-generated.

A new finite element method (FEM) framework models neural activity under electrical stimulation. This advanced simulation accurately captures complex electrode designs and cell membrane dynamics for improved neural excitation studies.

Keywords:
COMSOLcomputer simulationextracellular stimulationfinite element methodneural stimulation

More Related Videos

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

1.8K
Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays
10:45

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays

Published on: May 29, 2017

10.0K

Related Experiment Videos

Last Updated: Sep 29, 2025

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
14:14

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Published on: August 12, 2018

9.0K
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

1.8K
Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays
10:45

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays

Published on: May 29, 2017

10.0K

Area of Science:

  • Computational Neuroscience
  • Biophysics
  • Electrical Engineering

Background:

  • Classical models for neural stimulation often oversimplify complex electrode geometries and fail to account for cellular electrical effects.
  • Accurate modeling of neural responses to electrical stimuli is crucial for advancing neural implant design and extracellular stimulation experiments.
  • The finite element method (FEM) offers a robust approach to solving the Poisson equation for complex geometries and tissue properties.

Purpose of the Study:

  • To develop a comprehensive FEM framework in COMSOL for simulating neural activity under extracellular electrical stimulation.
  • To accurately model the electric field generated by complex electrode designs and the electrical behavior of nerve cells.
  • To investigate neuronal responses to non-symmetric extracellular potential gradients using detailed cell membrane models.

Main Methods:

  • Detailed implementation of morphologically and biophysically accurate neuron models, including active Hodgkin-Huxley (HH) cell membrane dynamics.
  • Development of cell and electrode geometries with advanced meshing strategies.
  • Assignment of appropriate physics for conducting spaces, realization of active electrodes, and coupling of physical domains for a complete model.

Main Results:

  • Successful FEM implementation of a HH model neuron stimulated by a honeycomb electrode.
  • Simulation of the electric field generated by a cochlear electrode within the cochlea.
  • Proof-of-concept for a detailed double-cable cell membrane model applicable to myelinated nerve fibers.

Conclusions:

  • The developed FEM framework provides essential techniques for realistic simulations of neural excitation.
  • This approach enables innovative studies on neuronal responses to complex extracellular electrical stimulation.
  • The framework supports both basic and advanced investigations into neural interfaces and stimulation paradigms.