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

Neuronal Communication01:28

Neuronal Communication

2.9K
Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...
2.9K
The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

3.6K
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....
3.6K
Integration of Synaptic Events01:28

Integration of Synaptic Events

3.4K
Synaptic integration mainly includes the summation of graded potentials. Graded potentials, regardless of their type, cause subtle alterations in membrane voltage, resulting in either depolarization or hyperpolarization. These incremental changes, when combined or summed, can propel the neuron toward its threshold. Consider, for example, a membrane experiencing a +15 mV shift, causing it to depolarize from -70 mV to -55 mV. In this scenario, graded potentials govern the membrane's ability to...
3.4K
Neural Circuits01:25

Neural Circuits

2.6K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
2.6K
Electrical Synapses01:28

Electrical Synapses

10.1K
Electrical synapses found in all nervous systems play important and unique roles. In these synapses, the presynaptic and postsynaptic membranes are very close together (3.5 nm) and are actually physically connected by channel proteins forming gap junctions.
Gap junctions allow the current to pass directly from one cell to the next. In contrast, in the chemical synapse, the neurotransmitters carry the information through the synaptic cleft from one neuron to the next. They consist of two...
10.1K
Synaptic Signaling01:09

Synaptic Signaling

6.5K
Neurons communicate at synapses, or junctions, to excite or inhibit the activity of other neurons or target cells, such as muscles. Synapses may be chemical or electrical.
Most synapses are chemical, meaning an electrical impulse or action potential spurs the release of chemical messengers called neurotransmitters. The neuron sending the signal is called the presynaptic neuron, and the neuron receiving the signal is the postsynaptic neuron.
The presynaptic neuron fires an action potential that...
6.5K

You might also read

Related Articles

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

Sort by
Same author

Developmental circuit instability in amyotrophic lateral sclerosis: from hyperexcitability to network collapse.

Brain : a journal of neurology·2026
Same author

Scaffold-free assembly of cortical-hippocampal circuit from modular neurospheroids: a high-throughput platform to investigate network development and dynamics.

Biofabrication·2026
Same author

Modelling the human brain<i>in vitro</i>: biofabrication approaches for neural tissue engineering.

Biofabrication·2025
Same author

When <i>in vitro</i> is not enough: <i>In silico</i> strategies to investigate functional and dynamical properties of large-scale neuronal assemblies.

APL bioengineering·2025
Same author

Computational joint action: Dynamical models to understand the development of joint coordination.

PLoS computational biology·2024
Same author

Electrophysiological features of cortical 3D networks are deeply modulated by scaffold properties.

APL bioengineering·2024
Same journal

Model-based design and placement analysis for epidural cortical stimulation.

Journal of neural engineering·2026
Same journal

A computational framework for fitting biophysical basal-ganglia network models, applied to Parkinsonian beta oscillations.

Journal of neural engineering·2026
Same journal

A sensor-driven Hill-type muscle modeling framework integrating sEMG and pFMG for biceps brachii force estimation.

Journal of neural engineering·2026
Same journal

Overcoming brain non-stationarity: Adaptive RLS classification for stable BCIs based on auditory evoked potentials.

Journal of neural engineering·2026
Same journal

Mapping neural representations of fine and gross upper-limb movements across dorsoventral subthalamic nucleus subregions in Parkinson's disease.

Journal of neural engineering·2026
Same journal

Ultra-flexible wireless endovascular stimulator for cortical simulation.

Journal of neural engineering·2026
See all related articles

Related Experiment Video

Updated: Jan 11, 2026

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
08:08

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

Published on: June 24, 2015

12.0K

A computational framework combining neuronal dynamics and evolutionary game theory for network-level synaptic

Fabio Poggio1, Martina Brofiga1,2, Cecilia De Vicariis1

  • 1Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBRIS), University of Genova, Genova, Italy.

Journal of Neural Engineering
|November 10, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a computational framework combining the Hindmarsh-Rose model and game theory to analyze neuronal interactions. The method accurately estimates parameters from partial data, distinguishing neuronal populations by their strategic behavior.

Keywords:
Hindmarsh–Roseestimation methodevolutionary game theoryneuronal networks

More Related Videos

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.8K
3D Modeling of Dendritic Spines with Synaptic Plasticity
07:13

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

7.3K

Related Experiment Videos

Last Updated: Jan 11, 2026

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
08:08

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

Published on: June 24, 2015

12.0K
Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.8K
3D Modeling of Dendritic Spines with Synaptic Plasticity
07:13

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

7.3K

Area of Science:

  • Computational Neuroscience
  • Neuroscience
  • Systems Biology

Background:

  • The Hindmarsh-Rose (HR) model captures complex neuronal dynamics like spiking and bursting.
  • Understanding synaptic interactions in neuronal populations is crucial for neuroscience.
  • Evolutionary game theory provides a framework for modeling strategic interactions.

Purpose of the Study:

  • To develop a novel computational framework integrating the HR model with evolutionary game theory on networks.
  • To simulate and interpret synaptic-level interactions within neuronal populations.
  • To introduce a parameter estimation method using adaptive observers for game-theoretic parameters.

Main Methods:

  • Neurons are modeled as strategic agents interacting based on game-theoretic principles.
  • An adaptive observer-based method is formulated for parameter estimation from partial state observations.
  • The framework is validated using numerical simulations on synthetic datasets.

Main Results:

  • The model successfully reproduces both spiking and bursting neuronal dynamics.
  • It distinguishes neuronal populations based on their strategic interactions.
  • Estimated parameters show potential as discriminative markers for neuronal types and structures.

Conclusions:

  • The integrated framework offers a robust quantitative tool for studying complex neuronal network dynamics.
  • The parameter estimation method is scalable and accurate for analyzing synaptic interactions.
  • This approach advances the understanding of neuronal network dynamics and function.