Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Neural Circuits

Neural Circuits

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...

You might also read

Related Articles

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

Sort by

Same author

Principles of gamma synchrony predict figure-ground perception in texture stimuli.

eLife·2026

Same author

Controlling reciprocity in binary and weighted networks: A novel density-conserving approach.

Chaos (Woodbury, N.Y.)·2026

Same author

Building on models-a perspective for computational neuroscience.

Cerebral cortex (New York, N.Y. : 1991)·2025

Same author

Modeling neuron-astrocyte interactions in neural networks using distributed simulation.

PLoS computational biology·2025

Same author

Coding schemes in neural networks learning classification tasks.

Nature communications·2025

Same author

Reconciliation of weak pairwise spike-train correlations and highly coherent local field potentials across space.

Cerebral cortex (New York, N.Y. : 1991)·2024

Same journal

Ephaptic coupling can explain variability in neural activity.

Cerebral cortex (New York, N.Y. : 1991)·2026

Same journal

A neuroimaging meta-analysis on social impression formation of stable characteristics.

Cerebral cortex (New York, N.Y. : 1991)·2026

Same journal

An expanded cortical map of von Economo neurons in the human medial prefrontal cortex.

Cerebral cortex (New York, N.Y. : 1991)·2026

Same journal

For better and worse: neural self-partner overlap during social feedback is associated with relationship satisfaction and depressive symptoms.

Cerebral cortex (New York, N.Y. : 1991)·2026

Same journal

Regions in the human inferior temporal gyrus are engaged in numerosity processing across visual stimulus categories.

Cerebral cortex (New York, N.Y. : 1991)·2026

Same journal

Differentiation of cortical areas: effects of free energy minimization with broken symmetry.

Cerebral cortex (New York, N.Y. : 1991)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 10, 2025

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

Multi-scale spiking network model of human cerebral cortex.

Jari Pronold^1,2, Alexander van Meegen^1,3, Renan O Shimoura¹

¹Institute for Advanced Simulation (IAS-6), Jülich Research Centre, D-52428 Jülich, Germany.

Cerebral Cortex (New York, N.Y. : 1991)

|October 21, 2024

Summary

This summary is machine-generated.

This study presents a multi-scale model of the human cortex, integrating diverse data to link brain structure and dynamics. The model accurately predicts neuronal activity and functional connectivity, highlighting the importance of strong inter-areal connections.

Keywords:

connectivity large-scale neural network resting-state activity simulation

More Related Videos

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

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

Published on: October 18, 2015

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays

Published on: May 29, 2017

Related Experiment Videos

Last Updated: Jun 10, 2025

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

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

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

Published on: October 18, 2015

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays

Published on: May 29, 2017

Area of Science:

Neuroscience
Computational Neuroscience
Systems Neuroscience

Background:

Cortical network structure is essential but insufficient for understanding neuronal activity.
Human brain data is increasingly available for detailed modeling.

Purpose of the Study:

To develop a multi-scale, spiking network model of the human cortex.
To investigate the relationship between brain structure and neuronal dynamics.
To predict activity across scales, from single neurons to functional connectivity.

Main Methods:

Developed a multi-scale spiking network model of the human cortex using the Desikan-Killiany parcellation.
Integrated multi-modal data: electron microscopy, electrophysiology, morphological reconstructions, and diffusion tensor imaging.
Compared model predictions with human electrophysiological and resting-state fMRI data.

Main Results:

The model reproduces aspects of spiking statistics and fMRI correlations when inter-areal connections are strong.
Model activity predicts both single-neuron spiking and area-level functional connectivity.
Studied propagation of perturbations and macroscopic fluctuations within the network.

Conclusions:

The developed model serves as an integrative platform for studying human cortical structure, dynamics, and function.
Strong inter-areal connections are crucial for reproducing observed brain activity patterns.
The open-source model facilitates future in silico investigations.