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 Experiment Videos

Constraining compartmental models using multiple voltage recordings and genetic algorithms.

Naomi Keren1, Noam Peled, Alon Korngreen

  • 1Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan, Israel.

Journal of Neurophysiology
|August 12, 2005
PubMed
Summary
This summary is machine-generated.

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

Neuronal excitability and parameter variability in the Hodgkin-Huxley model.

PLoS computational biology·2026
Same author

Toward Reference-Grade neuron models.

Communications biology·2026
Same author

Human intracranial correlates of dynamic coding in auditory working memory.

bioRxiv : the preprint server for biology·2026
Same author

Transcriptomic decoding of regional cortical vulnerability to drug-resistant epilepsy using 7T MRI.

Communications biology·2025
Same author

Ictal MEG-EEG Study to Localize the Onset of Generalized Seizures: To See Beyond What Meets the Eye.

Brain sciences·2025
Same author

Imaging and Anesthesia Protocol Optimization in Sedated Clinical Resting-State fMRI.

AJNR. American journal of neuroradiology·2024
Same journal

Comprehensive Analysis of Auditory Nerve Fiber Responses using Fiber-Specific Modeling.

Journal of neurophysiology·2026
Same journal

HCN channels modulate the medium afterhyperpolarization and adjust the firing gain of fast alpha motoneurons in mice.

Journal of neurophysiology·2026
Same journal

Targeting intracranial electrical stimulation to network regions defined within individuals causes network-level effects.

Journal of neurophysiology·2026
Same journal

When "Noise" Isn't Simply Noise: Deterministic Postural Drive During Noisy Galvanic Vestibular Stimulation (nGVS).

Journal of neurophysiology·2026
Same journal

Abrupt Scene Onsets and Gradually Emerging Scene Information Produce Distinct EEG Decoding Dynamics.

Journal of neurophysiology·2026
Same journal

From discovery to translation: charting a course for the <i>Journal of Neurophysiology</i>.

Journal of neurophysiology·2026
See all related articles

Automated methods like genetic algorithms (GAs) can build complex neuron models. Combining multiple data sources, including dendritic and axonal recordings, significantly improves the accuracy of these computational neuroscience models.

Area of Science:

  • Computational Neuroscience
  • Systems Neuroscience
  • Biophysics

Background:

  • Compartmental models are essential for studying complex neuron physiology.
  • Manually parameterizing these models is challenging due to numerous variables.
  • Automated methods, like genetic algorithms (GAs), offer a promising solution.

Purpose of the Study:

  • To compare the effectiveness of different cost functions for constraining compartmental neuron models using GAs.
  • To investigate the impact of incorporating dendritic and axonal recordings on model constraint.
  • To propose an experimental strategy for optimizing GA-based model parameterization.

Main Methods:

  • Utilized a genetic minimization algorithm with a reduced compartmental model of layer 5 neocortical pyramidal neurons.

Related Experiment Videos

  • Evaluated five distinct cost functions based on membrane potential, interspike interval, and trajectory density.
  • Systematically increased the number of recording locations (somatic, dendritic, axonal) to assess model constraint.

    • Main Results:

    • A combined cost function proved most effective when using only somatic recordings.
    • Adding dendritic and axonal recording sites progressively improved the GA's ability to constrain the compartmental model.
    • Increased data from multiple neuronal compartments enhanced model accuracy.

    Conclusions:

    • A combined cost function is superior for constraining neuron models with somatic data.
    • Multi-site recordings, encompassing dendrites and axons, are crucial for robust model parameterization.
    • The proposed experimental scheme, coupled with GAs, can effectively constrain complex neuronal models.