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

Definite Integral01:29

Definite Integral

71
Consider a real-valued function defined on a closed interval. One of the fundamental objectives in calculus is to determine the area under the graph of such a function. When an exact computation is not readily available, this area can be estimated by dividing the interval into a finite number of equal subintervals. Each subinterval corresponds to a rectangle whose width is the length of the subinterval and whose height is determined by the value of the function at a selected point within that...
71
Definition of z-Transform01:26

Definition of z-Transform

1.6K
The z-transform is a powerful mathematical tool used in the analysis of discrete-time signals and systems. It is an essential analytical tool, analogous to the Laplace transform used in continuous-time systems. It plays a crucial role in the analysis of signals and systems, complementing the discrete-time Fourier transform. Both the z-transform and the Laplace transform convert differential or difference equations into algebraic equations, simplifying the process of solving complex problems.
1.6K
Acid–Base Equilibria: Activity-Based Definition of pH01:10

Acid–Base Equilibria: Activity-Based Definition of pH

1.3K
For an ideal solution, the pH is defined as the negative logarithm of the hydrogen ion concentration. For a non-ideal solution, an accurate measurement of the pH must consider the negative logarithm of the hydrogen ion activity rather than concentration. In such a solution, the pH can be more accurately defined as the negative logarithm of a product of the hydrogen ion concentration and its activity coefficient.
In solutions of very low ionic strength—for example, pure water—the...
1.3K
Properties of Definite Integral I01:30

Properties of Definite Integral I

61
A car’s motion over time can be effectively analyzed using integral calculus, particularly through the concept of the definite integral applied to a velocity–time relationship. The definite integral describes how velocity accumulates over a specified time interval to produce total displacement. From a geometric perspective, this displacement is interpreted as the area under the velocity–time curve. Several key properties of definite integrals make it easier to analyze motion...
61
The Precise Definition of a Limit01:27

The Precise Definition of a Limit

304
Understanding the formal definition of a limit is essential for precise mathematical analysis. This concept allows us to rigorously determine how a function behaves near a particular point without relying on ambiguous notions such as "getting close." The ε-δ definition plays a foundational role in calculus, ensuring analytical clarity and logical consistency in limit evaluation.The formal definition states that the limit of a function f(x) as x approaches a is L, written asif for...
304
Properties of Definite Integral II01:24

Properties of Definite Integral II

56
Definite integrals are essential tools in calculus, used to quantify accumulated change over an interval. A common physical application is calculating the total displacement from a velocity-time graph. If a velocity function, v(t), describes the motion of an object over time, the definite integral gives the net displacement between times a and b. This integral corresponds to the signed area under the velocity curve between those two points.Two fundamental properties of definite integrals aid in...
56

You might also read

Related Articles

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

Sort by
Same author

Mineralocorticoid receptor antagonists and mortality in hypertension: a systematic review and meta-analysis.

Journal of hypertension·2026
Same author

Comparison of AI-assisted and human-produced podcasts derived from Cochrane Plain Language Summaries: protocol for a randomised non-inferiority trial (Health Information Effectiveness Trials-2).

Journal of clinical epidemiology·2026
Same author

Minimized sample consumption for time-resolved serial crystallography applied to the redox cycle of human NQO1.

Communications chemistry·2026
Same author

Feasibility of endocardial left bundle branch pacing in a 3-month-old with complete congenital atrioventricular heart block: A case report.

HeartRhythm case reports·2025
Same author

Synthetic Tabular Data Generation Under Horizontal Federated Learning Environments in Acute Myeloid Leukemia: Case-Based Simulation Study.

JMIR medical informatics·2025
Same author

Association of lipid-lowering therapy with dementia and cognitive outcomes: a systematic review and meta-analysis.

Age and ageing·2025

Related Experiment Video

Updated: Feb 2, 2026

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
06:28

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

6.3K

Web-Based Interfaces for Virtual C. elegans Neuron Model Definition, Network Configuration, Behavioral Experiment

Gorka Epelde1,2, Fearghal Morgan3, Andoni Mujika1

  • 1Vicomtech, San Sebastián, Spain.

Frontiers in Neuroinformatics
|November 29, 2018
PubMed
Summary

The Si elegans platform offers a user-friendly, web-based interface for simulating the nematode Caenorhabditis elegans (C. elegans) and its environment. This tool simplifies the creation and visualization of neural models and experiments, promoting reproducible research.

Keywords:
C. elegans experiment definition and results visualizationNeuroMLbehavioral experiment input encodingbiological neural networksbrain-inspired computationin silico simulationlow entropy model specification (LEMS)neuronal activity visualization

More Related Videos

Virtual Reality Experiments with Physiological Measures
07:09

Virtual Reality Experiments with Physiological Measures

Published on: August 29, 2018

13.3K
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

Related Experiment Videos

Last Updated: Feb 2, 2026

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
06:28

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

6.3K
Virtual Reality Experiments with Physiological Measures
07:09

Virtual Reality Experiments with Physiological Measures

Published on: August 29, 2018

13.3K
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

Area of Science:

  • Computational Neuroscience
  • Systems Biology
  • Bioinformatics

Background:

  • The nematode Caenorhabditis elegans (C. elegans) is a key model organism in biological research.
  • Simulating C. elegans requires specialized computational tools, posing a barrier for many researchers.
  • Existing simulation environments often lack user-friendly interfaces for model creation and analysis.

Purpose of the Study:

  • To present the Si elegans platform, a unified web-based system for the complete virtualization of C. elegans.
  • To provide user-friendly Graphical User Interfaces (GUIs) for creating neural models and behavioral experiments.
  • To facilitate the visualization and export of simulation results for reproducible research.

Main Methods:

  • Development of a suite of unified, web-based GUIs for user interaction.
  • Implementation of novel XML-based formats for behavioral experiment definition and NeuroML for model description.
  • Integration of a worm locomotion and neural activity viewer for results visualization.
  • Export functionality for machine-readable models, experiment definitions, and results.

Main Results:

  • The Si elegans platform enables graphical creation of neuron/network models and behavioral experiments without requiring computer science expertise.
  • Users can graphically visualize simulation results, including worm locomotion and neural activity.
  • Exportable, machine-readable data formats ensure reproducible and cross-platform execution of in silico C. elegans experiments.
  • User survey data confirms platform usability and functionality.

Conclusions:

  • The Si elegans platform significantly enhances accessibility to C. elegans simulation for the scientific community.
  • The web-based GUIs and standardized data formats promote reproducible and collaborative research.
  • The platform provides a foundation for future development of web-based simulation tools for other organisms.