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 Models02:00

Molecular Models

43.7K
Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
43.7K
Molecular Orbital Theory II03:51

Molecular Orbital Theory II

27.1K
Molecular Orbital Energy Diagrams
27.1K
Molecular and Ionic Solids02:54

Molecular and Ionic Solids

20.0K
Crystalline solids are divided into four types: molecular, ionic, metallic, and covalent network based on the type of constituent units and their interparticle interactions.
Molecular Solids
Molecular crystalline solids, such as ice, sucrose (table sugar), and iodine, are solids that are composed of neutral molecules as their constituent units. These molecules are held together by weak intermolecular forces such as London dispersion forces, dipole-dipole interactions, or hydrogen bonds, which...
20.0K
Molecular Orbital Theory I02:35

Molecular Orbital Theory I

47.3K
Overview of Molecular Orbital Theory
47.3K
Predicting Molecular Geometry02:27

Predicting Molecular Geometry

45.7K
VSEPR Theory for Determination of Electron Pair Geometries
45.7K
Kinetic Molecular Theory: Molecular Velocities, Temperature, and Kinetic Energy03:07

Kinetic Molecular Theory: Molecular Velocities, Temperature, and Kinetic Energy

29.8K
The kinetic molecular theory qualitatively explains the behaviors described by the various gas laws. The postulates of this theory may be applied in a more quantitative fashion to derive these individual laws.
29.8K

You might also read

Related Articles

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

Sort by
Same author

Performance and Wellbeing Research Priorities in Premiership Women's Rugby: A Delphi Study Including Players and Staff.

European journal of sport science·2025
Same author

Aversive Learning Induces Context-Gated Global Reorganization of Neural Dynamics in <i>Caenorhabditis elegans</i>.

bioRxiv : the preprint server for biology·2025
Same author

Network modularity reveals context and state-dependent reorganization of time-varying functional connectivity in single-cell resolved neural activity recordings.

bioRxiv : the preprint server for biology·2025
Same author

CeDNe: A multi-scale computational framework for modeling structure-function relationships in the <i>C. elegans</i> nervous system.

bioRxiv : the preprint server for biology·2025
Same author

Automated cell annotation in multi-cell images using an improved CRF_ID algorithm.

eLife·2025
Same author

Skeletal Effects of Sleeve Gastrectomy, by Sex and Menopausal Status and Compared to Roux-En-Y Gastric Bypass Surgery.

The Journal of clinical endocrinology and metabolism·2024

Related Experiment Video

Updated: Jan 28, 2026

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
08:13

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Published on: May 10, 2019

6.8K

Molecular and cellular modulators for multisensory integration in C. elegans.

Gareth Harris1, Taihong Wu1, Gaia Linfield1

  • 1Department of Organismic and Evolutionary Biology, Center for Brain Sciences, Harvard University, Cambridge, MA, United States of America.

Plos Genetics
|March 9, 2019
PubMed
Summary
This summary is machine-generated.

Animals integrate multiple sensory cues for adaptive behaviors. This study reveals neural circuits and the TGF-β pathway in C. elegans that modulate responses to combined food and repellent cues, offering insights into multisensory integration.

More Related Videos

A Molecular Readout of Long-term Olfactory Adaptation in C. elegans
11:30

A Molecular Readout of Long-term Olfactory Adaptation in C. elegans

Published on: December 22, 2012

11.2K
Author Spotlight: Exploring Metabolic and Aging Processes in C. elegans Using Low-Cost, High-Impact Assays
08:29

Author Spotlight: Exploring Metabolic and Aging Processes in C. elegans Using Low-Cost, High-Impact Assays

Published on: February 23, 2024

2.1K

Related Experiment Videos

Last Updated: Jan 28, 2026

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
08:13

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Published on: May 10, 2019

6.8K
A Molecular Readout of Long-term Olfactory Adaptation in C. elegans
11:30

A Molecular Readout of Long-term Olfactory Adaptation in C. elegans

Published on: December 22, 2012

11.2K
Author Spotlight: Exploring Metabolic and Aging Processes in C. elegans Using Low-Cost, High-Impact Assays
08:29

Author Spotlight: Exploring Metabolic and Aging Processes in C. elegans Using Low-Cost, High-Impact Assays

Published on: February 23, 2024

2.1K

Area of Science:

  • Neuroscience
  • Behavioral Biology
  • Molecular Biology

Background:

  • Animals integrate simultaneous sensory cues for adaptive behaviors.
  • The neural basis and modulators of multisensory integration are not fully understood.

Purpose of the Study:

  • To investigate the neuronal mechanisms and modulators regulating behavioral decisions in response to combined attractive and repulsive sensory cues.
  • To identify specific neurons, interneurons, and neuromodulators involved in multisensory integration.

Main Methods:

  • Utilized behavioral assays in Caenorhabditis elegans (C. elegans).
  • Investigated the role of specific sensory neurons, interneurons, and neuromodulators.
  • Characterized the function of the transforming growth factor-beta (TGF-β) pathway.

Main Results:

  • Identified neural circuits orchestrating behavioral decisions when presented with attractive food and repulsive odorants.
  • Discovered a novel role for the TGF-β pathway in inhibiting central neuron signaling to regulate integrated decisions.
  • Found that common modulators, including the TGF-β pathway, regulate responses to diverse sensory pairings.

Conclusions:

  • Mechanistic insights into the modulatory signals governing multisensory integration.
  • The TGF-β pathway plays a conserved role in regulating integrated behavioral responses.
  • Context-dependent modulation of multisensory integration is suggested.