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

Activity-dependent current distributions in model neurons

M Siegel1, E Marder, L F Abbott

  • 1Center for Complex Systems, Brandeis University, Waltham, MA 02254.

Proceedings of the National Academy of Sciences of the United States of America
|November 22, 1994
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 calcium spikes enable vector inversion in the Drosophila brain.

Cell·2025
Same author

Transfer of graded information through gated receptivity to widely broadcast signals.

bioRxiv : the preprint server for biology·2025
Same author

Motor cortex flexibly deploys a high-dimensional repertoire of subskills.

bioRxiv : the preprint server for biology·2025
Same author

Associative synaptic plasticity creates dynamic persistent activity.

bioRxiv : the preprint server for biology·2025
Same author

Connectome analysis of a cerebellum-like circuit for sensory prediction.

bioRxiv : the preprint server for biology·2025
Same author

An end-to-end model of active electrosensation.

Current biology : CB·2025

A computer model shows how neuron electrical activity shapes its own physiology. This intrinsic plasticity creates realistic conductance patterns and balances synaptic input, optimizing neuron function.

Area of Science:

  • Neuroscience
  • Computational Biology
  • Biophysics

Background:

  • Neuron electrical activity influences intrinsic physiological characteristics.
  • Understanding how neurons adapt to activity is crucial for comprehending brain function.

Purpose of the Study:

  • To investigate how local calcium (Ca2+) concentrations, influenced by electrical activity, affect channel density in a model neuron.
  • To explore the consequences of activity-dependent channel density on neuronal morphology, synaptic integration, and firing dynamics.

Main Methods:

  • Utilized a computer-simulated multicompartment model neuron.
  • Incorporated a mechanism where ion channel density is dependent on local Ca2+ concentrations.
  • Analyzed the resulting spatial distribution of conductances and the neuron's physiological response to synaptic input.

Related Experiment Videos

Main Results:

  • The model neuron developed a realistic, nonuniform distribution of conductances, influenced by its structure and synaptic input patterns.
  • Demonstrated intrinsic localized plasticity, which balanced synaptic input across dendritic regions with unequal stimulation.
  • Showcased intrinsic plasticity acting as a biophysical gain control, maintaining optimal firing ranges after long-term potentiation.

Conclusions:

  • Activity-dependent changes in ion channel density can lead to emergent, realistic neuronal properties.
  • Intrinsic localized plasticity plays a role in balancing synaptic inputs and maintaining neuronal excitability.
  • Biophysical gain control mechanisms, driven by intrinsic plasticity, are essential for neuronal stability and function in response to synaptic plasticity.