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

Dynamic Equilibrium02:20

Dynamic Equilibrium

62.0K
A reversible chemical reaction represents a chemical process that proceeds in both forward (left to right) and reverse (right to left) directions. When the rates of the forward and reverse reactions are equal, the concentrations of the reactant and product species remain constant over time and the system is at equilibrium. A special double arrow is used to emphasize the reversible nature of the reaction. The relative concentrations of reactants and products in equilibrium systems vary greatly;...
62.0K
Equation of Rotational Dynamics01:08

Equation of Rotational Dynamics

14.7K
Angular variables are introduced in rotational dynamics. Comparing the definitions of angular variables with the definitions of linear kinematic variables, it is seen that there is a mapping of the linear variables to the rotational ones. Linear displacement, velocity, and acceleration have their equivalents in rotational motion, which are angular displacement, angular velocity, and angular acceleration. Similar to the rotational variables, a mapping exists from Newton's second law of motion...
14.7K
Fermi Level Dynamics01:12

Fermi Level Dynamics

666
The vacuum level denotes the energy threshold required for an electron to escape from a material surface. It is usually positioned above the conduction band of a semiconductor and acts as a benchmark for comparing electron energies within various materials.
Electron affinity in semiconductors refers to the energy gap between the minimum of its conduction band and the vacuum level and it is a critical parameter in determining how easily a semiconductor can accept additional electrons.
The work...
666
Dynamics of Circular Motion01:30

Dynamics of Circular Motion

23.3K
An object undergoing circular motion, like a race car, is accelerating because it is changing the direction of its velocity. This centrally directed acceleration is called centripetal acceleration. This acceleration acts along the radius of the curved path (thus is also referred to as radial acceleration).
Any acceleration must be produced by some force. Therefore, any force or combination of forces can cause centripetal acceleration. A few examples include the tension in the rope on a...
23.3K
Dynamic Modulus of Elasticity of Concrete01:16

Dynamic Modulus of Elasticity of Concrete

961
The dynamic modulus of elasticity assesses how a concrete structure deforms under impact or dynamic loads. It is typically higher than the static modulus of elasticity, measured under slow, steady loading conditions.
The sonic test is a common method to determine the dynamic modulus. In this test, a concrete beam, sized either 6 x 6 x 30 inches or 4 x 4 x 20 inches, is clamped at its center. Vibrations are initiated at one end of the beam by an electromagnetic exciter unit powered by a...
961
Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

2.6K
Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...
2.6K

You might also read

Related Articles

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

Sort by
Same author

Age- and Periodontal Disease Independent Correlation of Salivary Amino Acids.

In vivo (Athens, Greece)·2025
Same author

Corrigendum: Mirror neuron activity during audiovisual appreciation of opera performance.

Frontiers in psychology·2023
Same author

Functional connectivity in autism spectrum disorder evaluated using rs-fMRI and DKI.

Cerebral cortex (New York, N.Y. : 1991)·2023
Same author

Distorted neurocomputation by a small number of extra-large spines in psychiatric disorders.

Science advances·2023
Same author

The Inhibitory Effect of 5-Bromodeoxyuridine on the Programmed Cell Death in the Chick Limb: (cell death/BrdU/limb bud).

Development, growth & differentiation·2023
Same author

Study of the Lineage and Cell Cycle of Small Micromeres in Embryos of the Sea Urchin, Hemicentrotus pulcherrimus: (small micromeres/cell cycle/cell lineage/unequal cleavage/sea urchin).

Development, growth & differentiation·2023

Related Experiment Video

Updated: Jan 22, 2026

Comprehensive Analysis of Transcription Dynamics from Brain Samples Following Behavioral Experience
08:14

Comprehensive Analysis of Transcription Dynamics from Brain Samples Following Behavioral Experience

Published on: August 26, 2014

12.1K

[Brain as a Dynamical System].

Shoji Tanaka1

  • 1Department of Information and Communication Sciences, Sophia University.

Brain and Nerve = Shinkei Kenkyu No Shinpo
|July 11, 2019
PubMed
Summary

This study models the brain as a dynamical control system to understand its core features. The research explores the dorsolateral prefrontal cortex and striatum dynamics, offering insights into schizophrenia and molecular imaging analysis.

Area of Science:

  • Neuroscience
  • Control Systems Theory
  • Computational Psychiatry

Background:

  • The brain's complex dynamics are challenging to study.
  • Simplified models can reveal essential brain characteristics.
  • Schizophrenia involves disruptions in brain function, particularly in prefrontal cortex and striatum circuits.

Purpose of the Study:

  • To model the brain as a simplified dynamical control system.
  • To understand the essential dynamical characteristics of the brain.
  • To investigate the relevance of a control system model to schizophrenia and molecular imaging.

Main Methods:

  • Developing a control system model of the dorsolateral prefrontal cortex and striatum.
  • Incorporating dopaminergic modulation into the model.

More Related Videos

Precise Brain Mapping to Perform Repetitive In Vivo Imaging of Neuro-Immune Dynamics in Mice
08:17

Precise Brain Mapping to Perform Repetitive In Vivo Imaging of Neuro-Immune Dynamics in Mice

Published on: August 7, 2020

8.2K
Live Imaging of Microtubule Dynamics in Glioblastoma Cells Invading the Zebrafish Brain
09:29

Live Imaging of Microtubule Dynamics in Glioblastoma Cells Invading the Zebrafish Brain

Published on: July 29, 2022

3.2K

Related Experiment Videos

Last Updated: Jan 22, 2026

Comprehensive Analysis of Transcription Dynamics from Brain Samples Following Behavioral Experience
08:14

Comprehensive Analysis of Transcription Dynamics from Brain Samples Following Behavioral Experience

Published on: August 26, 2014

12.1K
Precise Brain Mapping to Perform Repetitive In Vivo Imaging of Neuro-Immune Dynamics in Mice
08:17

Precise Brain Mapping to Perform Repetitive In Vivo Imaging of Neuro-Immune Dynamics in Mice

Published on: August 7, 2020

8.2K
Live Imaging of Microtubule Dynamics in Glioblastoma Cells Invading the Zebrafish Brain
09:29

Live Imaging of Microtubule Dynamics in Glioblastoma Cells Invading the Zebrafish Brain

Published on: July 29, 2022

3.2K
  • Applying model-based analysis to molecular imaging data.

    • Main Results:

    • The simplified control system model provides insights into essential brain dynamics.
    • The model highlights the relevance of dorsolateral prefrontal cortex-striatum dynamics in schizophrenia.
    • Model-based analysis can be applied to molecular imaging data.

    Conclusions:

    • A simplified dynamical control system approach is valuable for understanding brain function.
    • The model offers a framework for investigating neurological disorders like schizophrenia.
    • This approach facilitates the analysis of molecular imaging data for brain research.