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 Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

3.3K
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....
3.3K

You might also read

Related Articles

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

Sort by
Same author

On the role of L-type Ca2+ and BK channels in a biophysical model of cartwheel interneurons.

PLoS computational biology·2026
Same author

How the dynamic interplay of cortico-basal ganglia-thalamic pathways shapes the time course of deliberation and commitment.

PLoS computational biology·2026
Same author

Maximum entropy model reveals frequent brain state switching in a multiversal brain function analysis in early psychoses.

bioRxiv : the preprint server for biology·2026
Same author

How cortico-basal ganglia-thalamic subnetworks can shift decision policies to increase reward rate.

PLoS computational biology·2025
Same author

Reduced TRPC3 conductance underlies altered SNr activity under dopamine depletion: predictions from data-driven network models.

bioRxiv : the preprint server for biology·2025
Same author

State modulation in spatial networks with three interneuron subtypes.

Science advances·2025

Related Experiment Video

Updated: Aug 14, 2025

3D Modeling of Dendritic Spines with Synaptic Plasticity
07:13

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

6.9K

A spiking computational model for striatal cholinergic interneurons.

Marcello G Codianni1, Jonathan E Rubin2,3

  • 1Department of Mathematics, University of Pittsburgh, Pittsburgh, PA, 15260, USA.

Brain Structure & Function
|January 18, 2023
PubMed
Summary
This summary is machine-generated.

A new computational model of tonically active interneurons (TANs) in the striatum accurately replicates their diverse firing patterns. This model aids understanding of TANs

Keywords:
AcetylcholineBurstingConductance-based modelsMotor ticsTonically active neurons

More Related Videos

Modeling Fast-scan Cyclic Voltammetry Data from Electrically Stimulated Dopamine Neurotransmission Data Using QNsim1.0
07:41

Modeling Fast-scan Cyclic Voltammetry Data from Electrically Stimulated Dopamine Neurotransmission Data Using QNsim1.0

Published on: June 5, 2017

10.0K
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

Related Experiment Videos

Last Updated: Aug 14, 2025

3D Modeling of Dendritic Spines with Synaptic Plasticity
07:13

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

6.9K
Modeling Fast-scan Cyclic Voltammetry Data from Electrically Stimulated Dopamine Neurotransmission Data Using QNsim1.0
07:41

Modeling Fast-scan Cyclic Voltammetry Data from Electrically Stimulated Dopamine Neurotransmission Data Using QNsim1.0

Published on: June 5, 2017

10.0K
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

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Cholinergic interneurons (TANs) in the striatum influence corticostriatal plasticity, striatal output, and basal ganglia activity.
  • TANs exhibit varied firing patterns and responses, including surges and pauses linked to learning and motor control.
  • Dysregulation of TANs is implicated in motor disorders like Tourette's syndrome.

Purpose of the Study:

  • To develop a novel conductance-based computational model of a striatal TAN.
  • To explain factors contributing to TAN activity patterns and provide a resource for future research.
  • To explore the role of TAN-released acetylcholine in TAN activity modulation.

Main Methods:

  • Development of a conductance-based computational model of a striatal TAN.
  • Simulations to reproduce characteristic TAN firing patterns and responses.
  • Analysis of ionic current contributions to model behavior.
  • Exploration of acetylcholine's role in TAN activity dynamics.

Main Results:

  • The model successfully replicates diverse TAN firing patterns observed in experimental recordings.
  • A single baseline tuning captures a wide range of TAN behaviors under various experimental manipulations.
  • Ionic currents were identified as key contributors to specific firing patterns.
  • Model simulations predict the impact of acetylcholine on TAN activity surges and pauses.

Conclusions:

  • The computational model provides a valuable tool for understanding striatal TAN function.
  • The model elucidates the ionic mechanisms underlying diverse TAN activity patterns.
  • Results offer testable predictions for future experiments on TANs in learning and motor disorders.