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

Neural Control of Respiration01:18

Neural Control of Respiration

3.0K
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...
3.0K
Neural Regulation01:37

Neural Regulation

40.3K
Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
40.3K
Neural Circuits01:25

Neural Circuits

1.6K
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...
1.6K
Functional Brain Systems: Reticular Formation01:13

Functional Brain Systems: Reticular Formation

2.7K
The reticular formation is a complex network of gray and white matter located within the brainstem extending from the medulla to the midbrain.
Within the reticular formation, there are several distinct nuclei that can be classified into three broad categories. The Raphe nuclei are located along the midline of the brainstem. They are primarily known for their role in synthesizing and releasing serotonin, a neurotransmitter involved in regulating mood, appetite, sleep, and circadian rhythms. The...
2.7K

You might also read

Related Articles

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

Sort by
Same author

StrucNS reveals interaction-weighted network topology as the driving predictor of absolute stability of natural and de novo proteins.

bioRxiv : the preprint server for biology·2026
Same author

Parental Beliefs Are Associated with Youth Response to Alcohol Intervention.

Substance use & misuse·2026
Same author

Social jet lag has detrimental effects on hallmark characteristics of adolescent brain structure, circuit organization, and intrinsic dynamics.

Sleep·2025
Same author

The Adolescent functional connectome is dynamically controlled by a sparse core of cognitive and topological hubs.

NeuroImage·2025
Same author

Dynamic fluctuations of intrinsic brain activity are associated with consistent topological patterns in puberty and are biomarkers of neural maturation.

Network neuroscience (Cambridge, Mass.)·2025
Same author

Pre-pandemic mental health and brain characteristics predict adolescent stress and emotions during the COVID-19 pandemic.

PloS one·2025

Related Experiment Video

Updated: Sep 18, 2025

A Protocol for the Administration of Real-Time fMRI Neurofeedback Training
07:05

A Protocol for the Administration of Real-Time fMRI Neurofeedback Training

Published on: August 24, 2017

11.1K

Internal control of brain networks via sparse feedback.

Ilias Mitrai1, Victoria O Jones1, Harman Dewantoro1

  • 1Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, Minnesota, USA.

Aiche Journal. American Institute of Chemical Engineers
|June 27, 2025
PubMed
Summary
This summary is machine-generated.

This study models the human brain as a dynamic system. Findings suggest a small subset of highly connected brain regions may be crucial for neural circuit control, balancing performance and communication costs.

Keywords:
brain networkscentralityfeedback costsparsity promoting optimal control

More Related Videos

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.7K
Force and Position Control in Humans - The Role of Augmented Feedback
06:31

Force and Position Control in Humans - The Role of Augmented Feedback

Published on: June 19, 2016

8.0K

Related Experiment Videos

Last Updated: Sep 18, 2025

A Protocol for the Administration of Real-Time fMRI Neurofeedback Training
07:05

A Protocol for the Administration of Real-Time fMRI Neurofeedback Training

Published on: August 24, 2017

11.1K
Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.7K
Force and Position Control in Humans - The Role of Augmented Feedback
06:31

Force and Position Control in Humans - The Role of Augmented Feedback

Published on: June 19, 2016

8.0K

Area of Science:

  • Neuroscience
  • Systems Biology
  • Control Theory

Background:

  • The human brain's complex function relies on neural interactions across multiple scales.
  • Anatomical and energetic constraints shape these interactions, enabling information processing for cognitive tasks.

Purpose of the Study:

  • To model the brain as a closed-loop dynamic system under sparse feedback control.
  • To investigate the trade-off between control performance and communication cost in neural networks.

Main Methods:

  • Developed a controller design optimizing both performance and feedback (communication) cost.
  • Applied this framework to analyze structural and functional brain networks.

Main Results:

  • Under high feedback cost, control was limited to a small number of highly connected network nodes.
  • This indicates a potential central role for specific brain regions in overall neural control.

Conclusions:

  • A small subset of brain regions may be critical for controlling neural circuits.
  • This control is achieved through a balance between performance requirements and communication expenses.