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

Molecular Shape and Polarity03:37

Molecular Shape and Polarity

74.4K
Dipole Moment of a Molecule
74.4K
VSEPR Theory and the Basic Shapes02:52

VSEPR Theory and the Basic Shapes

84.0K
Overview of VSEPR Theory
84.0K
Molecular Shapes01:18

Molecular Shapes

61.4K
Molecules have characteristic shapes that are crucial for their function. The arrangement of various electron groups around the central atom dictates their molecular geometry. Electron pairs in the valence shell of a central atom will adopt an arrangement that minimizes repulsions between the electron pairs by maximizing the distance between them. The valence electrons form either bonding pairs, located primarily between bonded atoms, or lone pairs.
Two regions of electron density in a diatomic...
61.4K
First Derivatives and the Shape of a Graph01:22

First Derivatives and the Shape of a Graph

52
In calculus, the concept of the first derivative plays a crucial role in understanding the behavior of a function over its domain. The first derivative, denoted as f’(x), provides insight into how a function changes at any given point, much like a cyclist adjusting speed along a winding trail. By analyzing the first derivative, mathematicians can determine where a function is increasing, decreasing, or reaching critical points.The first derivative provides a precise method for classifying...
52
Second Derivatives and the Shape of a Graph01:29

Second Derivatives and the Shape of a Graph

76
The second derivative of a function provides essential information about a graph's curvature and how it changes over an interval. It helps determine whether a function is concave upward or concave downward and identifies points where the curvature changes. These properties are fundamental in analyzing real-world scenarios, such as changes in road elevation, population growth, and economic trends.A function f(x) is considered concave upward on an interval if its graph lies above all its tangent...
76
Dynamic Equilibrium02:20

Dynamic Equilibrium

61.9K
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;...
61.9K

You might also read

Related Articles

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

Sort by
Same author

Unfurling the role of dysferlin's C2A domain.

The Journal of general physiology·2026
Same author

Cholesterol pools cooperate to modulate HCN channels.

The Journal of general physiology·2026
Same author

ID helps verify coincidence detection.

The Journal of general physiology·2026
Same author

Cavβ dances the two-step with VSD II.

The Journal of general physiology·2025
Same author

The origins of oscillations.

The Journal of general physiology·2025
Same author

Skeletal muscle gets some help down the stretch.

The Journal of general physiology·2025

Related Experiment Video

Updated: Jan 22, 2026

Imaging Dendritic Spines in Caenorhabditis elegans
09:14

Imaging Dendritic Spines in Caenorhabditis elegans

Published on: September 27, 2021

2.7K

How dendritic spines shape calcium dynamics.

Ben Short

    The Journal of General Physiology
    |July 21, 2019
    PubMed
    Summary

    This study introduces a mathematical model to explore how the shape and structure of neuronal spines affect calcium signaling. Understanding these factors is crucial for brain function research.

    Area of Science:

    • Neuroscience
    • Biophysics
    • Computational Biology

    Background:

    • Calcium signaling is fundamental to neuronal function, including synaptic plasticity and memory formation.
    • Dendritic spine morphology and ultrastructure are known to vary significantly and influence neuronal excitability.

    Purpose of the Study:

    • To develop a computational model investigating the impact of dendritic spine geometry and ultrastructure on calcium dynamics.
    • To elucidate the biophysical mechanisms by which physical characteristics of spines modulate intracellular calcium signals.

    Main Methods:

    • Development of a multi-compartment mathematical model simulating calcium diffusion and buffering within idealized spine shapes.
    • Parameterization of the model using established biophysical properties of calcium channels and buffers.

    More Related Videos

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

    3D Modeling of Dendritic Spines with Synaptic Plasticity

    Published on: May 18, 2020

    7.4K
    Analysis of Dendritic Spine Morphology in Cultured CNS Neurons
    11:48

    Analysis of Dendritic Spine Morphology in Cultured CNS Neurons

    Published on: July 13, 2011

    35.8K

    Related Experiment Videos

    Last Updated: Jan 22, 2026

    Imaging Dendritic Spines in Caenorhabditis elegans
    09:14

    Imaging Dendritic Spines in Caenorhabditis elegans

    Published on: September 27, 2021

    2.7K
    3D Modeling of Dendritic Spines with Synaptic Plasticity
    07:13

    3D Modeling of Dendritic Spines with Synaptic Plasticity

    Published on: May 18, 2020

    7.4K
    Analysis of Dendritic Spine Morphology in Cultured CNS Neurons
    11:48

    Analysis of Dendritic Spine Morphology in Cultured CNS Neurons

    Published on: July 13, 2011

    35.8K
  • Simulations exploring the effects of varying spine dimensions (length, width) and internal structures on calcium transient profiles.

    • Main Results:

    • The model demonstrates that spine geometry significantly alters calcium transient amplitude, duration, and spatial spread.
    • Ultrastructural features, such as the presence of internal barriers or specific buffer distributions, were shown to further refine calcium signaling.
    • Specific geometric parameters were identified as critical determinants of calcium signal fidelity and integration.

    Conclusions:

    • Dendritic spine geometry and ultrastructure are not merely passive elements but actively shape calcium signaling.
    • The developed mathematical model provides a valuable tool for predicting how alterations in spine morphology may affect neuronal computation.
    • These findings highlight the importance of considering physical structure in understanding the functional role of dendritic spines in the brain.