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

Application of Integration: Problem Solving01:30

Application of Integration: Problem Solving

129
The process of breathing involves the periodic intake and expulsion of air, known as the respiratory cycle, which typically lasts about five seconds. Modeling the volume of air inhaled into the lungs as a function of time provides insight into both the dynamics and efficiency of pulmonary ventilation. This volume is determined by integrating the airflow rate over time, which captures the cumulative effect of air entering the lungs.Sinusoidal Model of AirflowAirflow during respiration is not...
129
Physiology of Respiration II: Neurogenic Control of Respiration01:22

Physiology of Respiration II: Neurogenic Control of Respiration

2.6K
The neurogenic control of respiration coordinates various neural networks and pathways to regulate breathing rate and depth, meeting the body's oxygen and carbon dioxide exchange requirements. This system adapts to physiological and environmental conditions, ensuring optimal breathing patterns.
Central Control
The brainstem is the primary site of central control, hosting respiratory centers:
2.6K
Neural Control of Respiration01:18

Neural Control of Respiration

5.5K
The neural regulation of respiration is a meticulously coordinated process primarily controlled by the respiratory centers located within the brainstem. These centers, composed of specialized neurons, transmit nerve impulses that control the contraction and relaxation of our respiratory muscles.
Respiratory Centers in the Brainstem
Two primary areas comprise the respiratory center: the medullary respiratory center in the medulla oblongata and the pontine respiratory group in the pons. The...
5.5K
Modeling with Differential Equations01:25

Modeling with Differential Equations

149
Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...
149
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

686
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
686

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: Mar 16, 2026

Contribution of the Na+/K+ Pump to Rhythmic Bursting, Explored with Modeling and Dynamic Clamp Analyses
08:34

Contribution of the Na+/K+ Pump to Rhythmic Bursting, Explored with Modeling and Dynamic Clamp Analyses

Published on: May 9, 2021

3.1K

Multiple timescale mixed bursting dynamics in a respiratory neuron model.

Yangyang Wang1, Jonathan E Rubin2

  • 1Department of Mathematics, University of Pittsburgh, 301 Thackeray Hall, Pittsburgh, PA, 15260, USA.

Journal of Computational Neuroscience
|August 6, 2016
PubMed
Summary

Researchers explored bursting mechanisms in pre-Bötzinger complex (pre-BötC) neurons. They found that mixed bursting solutions can be generated without requiring a third timescale, improving model robustness.

Keywords:
BurstingCalciumMultiple timescalesPersistent sodium currentRespiratory neuron

More Related Videos

Interfacing 3D Engineered Neuronal Cultures to Micro-Electrode Arrays: An Innovative In Vitro Experimental Model
09:47

Interfacing 3D Engineered Neuronal Cultures to Micro-Electrode Arrays: An Innovative In Vitro Experimental Model

Published on: October 18, 2015

10.5K
Electrophysiology on Isolated Brainstem-spinal Cord Preparations from Newborn Rodents Allows Neural Respiratory Network Output Recording
05:28

Electrophysiology on Isolated Brainstem-spinal Cord Preparations from Newborn Rodents Allows Neural Respiratory Network Output Recording

Published on: November 19, 2015

9.0K

Related Experiment Videos

Last Updated: Mar 16, 2026

Contribution of the Na+/K+ Pump to Rhythmic Bursting, Explored with Modeling and Dynamic Clamp Analyses
08:34

Contribution of the Na+/K+ Pump to Rhythmic Bursting, Explored with Modeling and Dynamic Clamp Analyses

Published on: May 9, 2021

3.1K
Interfacing 3D Engineered Neuronal Cultures to Micro-Electrode Arrays: An Innovative In Vitro Experimental Model
09:47

Interfacing 3D Engineered Neuronal Cultures to Micro-Electrode Arrays: An Innovative In Vitro Experimental Model

Published on: October 18, 2015

10.5K
Electrophysiology on Isolated Brainstem-spinal Cord Preparations from Newborn Rodents Allows Neural Respiratory Network Output Recording
05:28

Electrophysiology on Isolated Brainstem-spinal Cord Preparations from Newborn Rodents Allows Neural Respiratory Network Output Recording

Published on: November 19, 2015

9.0K

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Rodent medullary slices containing the pre-Bötzinger complex (pre-BötC) exhibit complex bursting mechanisms.
  • These mechanisms are primarily attributed to persistent sodium current (INaP) and intracellular Ca2+ dynamics.
  • A classic two-timescale analysis is often used, but novel mixed bursting (MB) solutions suggest more complexity.

Purpose of the Study:

  • To investigate the underlying mechanisms of MB solutions in pre-BötC inspiratory neurons.
  • To analyze the role of timescales in generating MB patterns.
  • To determine if a third timescale is essential for MB solutions and how to enhance model robustness.

Main Methods:

  • Utilized a single-compartment model of a pre-BötC inspiratory neuron capable of INaP and Ca2+ oscillations.
  • Applied dynamical systems theory, including phase plane analysis, fast-slow decomposition, and bifurcation analysis.
  • Examined the time course of MB solutions and their dependence on different timescales.

Main Results:

  • Discovered that MB solutions can be generated without the necessity of a third timescale.
  • Identified that the pre-BötC neuron model can exhibit both INaP and Ca2+ oscillations leading to MB.
  • Demonstrated that the model can be tuned to improve the robustness of MB solutions.

Conclusions:

  • The generation of MB solutions in pre-BötC neurons does not inherently require a third timescale.
  • Dynamical systems analysis provides crucial insights into the mechanisms governing complex neuronal bursting.
  • The findings offer a refined understanding of respiratory rhythm generation and potential therapeutic targets.