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

Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

346
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
346

You might also read

Related Articles

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

Sort by
Same author

A cross-correction gene therapy approach for CDKL5 deficiency disorder improves the pathological phenotype of CDD patient-derived cortical organoids.

Frontiers in bioengineering and biotechnology·2026
Same author

A neurorecording toolkit for longitudinal assessments of transplanted human cortical organoids <i>in vivo</i>.

bioRxiv : the preprint server for biology·2026
Same author

Non-genetic neuromodulation with graphene optoelectronic actuators for disease models, stem cell maturation, and biohybrid robotics.

Nature communications·2025
Same author

A Categorical Framework for Quantifying Emergent Effects in Network Topology.

Neural computation·2025
Same author

Graphene-polymer nanofibers enable optically induced electrical responses in stem cell-derived electrically excitable cells and brain organoids.

Biomaterials·2025
Same author

Direct effects of prolonged TNF-α and IL-6 exposure on neural activity in human iPSC-derived neuron-astrocyte co-cultures.

Frontiers in cellular neuroscience·2025
Same journal

Treadmill exercise rescues motor deficits in parkinsonian mice by modulating striatal D2-MSN activity: evidence from calcium imaging and chemogenetics.

Frontiers in systems neuroscience·2026
Same journal

Transfer learning for EEG-based BCIs: a comparative evaluation and optimization of data alignment methods.

Frontiers in systems neuroscience·2026
Same journal

The volatile anesthetic isoflurane causes global suppression of neuronal activity, disrupting hub neuron function in <i>Caenorhabditis elegans</i>.

Frontiers in systems neuroscience·2026
Same journal

Associative emotional memory encoding: insights from network stability analysis of an fMRI-driven bilinear dynamics.

Frontiers in systems neuroscience·2026
Same journal

The neurobiological basis of the awe experience in affective disorders: an exploratory EEG study.

Frontiers in systems neuroscience·2026
Same journal

Exploring the spiking neural autoencoder: from hyperexcitability to noise-driven compensation.

Frontiers in systems neuroscience·2026
See all related articles

Related Experiment Video

Updated: Nov 11, 2025

A Semi-high-throughput Imaging Method and Data Visualization Toolkit to Analyze C. elegans Embryonic Development
06:49

A Semi-high-throughput Imaging Method and Data Visualization Toolkit to Analyze C. elegans Embryonic Development

Published on: October 29, 2019

6.9K

Computing Temporal Sequences Associated With Dynamic Patterns on the C. elegans Connectome.

Vivek Kurien George1,2, Francesca Puppo1,2,3, Gabriel A Silva1,2,3,4

  • 1Department of Bioengineering, University of California, San Diego, San Diego, CA, United States.

Frontiers in Systems Neuroscience
|March 26, 2021
PubMed
Summary
This summary is machine-generated.

The C. elegans connectome

Keywords:
C. elegans modelcomputational modelingconnectome analysisgraph theorynetworks (circuits)

More Related Videos

Isotropic Light-Sheet Microscopy and Automated Cell Lineage Analyses to Catalogue Caenorhabditis elegans Embryogenesis with Subcellular Resolution
08:16

Isotropic Light-Sheet Microscopy and Automated Cell Lineage Analyses to Catalogue Caenorhabditis elegans Embryogenesis with Subcellular Resolution

Published on: June 6, 2019

8.5K
Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
11:52

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

6.2K

Related Experiment Videos

Last Updated: Nov 11, 2025

A Semi-high-throughput Imaging Method and Data Visualization Toolkit to Analyze C. elegans Embryonic Development
06:49

A Semi-high-throughput Imaging Method and Data Visualization Toolkit to Analyze C. elegans Embryonic Development

Published on: October 29, 2019

6.9K
Isotropic Light-Sheet Microscopy and Automated Cell Lineage Analyses to Catalogue Caenorhabditis elegans Embryogenesis with Subcellular Resolution
08:16

Isotropic Light-Sheet Microscopy and Automated Cell Lineage Analyses to Catalogue Caenorhabditis elegans Embryogenesis with Subcellular Resolution

Published on: June 6, 2019

8.5K
Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
11:52

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

6.2K

Area of Science:

  • Neuroscience
  • Computational Biology
  • Systems Biology

Background:

  • Understanding how neural network structure influences dynamics is crucial.
  • The C. elegans connectome provides a model for studying neural circuit behavior.

Purpose of the Study:

  • To simulate and analyze the dynamics of the C. elegans connectome.
  • To investigate how stimulating a specific neuron (ASEL) affects network activity.
  • To compare dynamics in isolated vs. embedded network contexts.

Main Methods:

  • Simulated C. elegans connectome dynamics using a novel model.
  • Focused on emergent global dynamics from local neuronal interactions.
  • Developed an analytic framework to construct Temporal Sequences (TSeq).

Main Results:

  • Simulations revealed contralateral motorneuron activations (VB, DB) similar to locomotion.
  • Isolated feeding network dynamics differed significantly from the embedded network.
  • Only 5% of signaling pathways (TSeq) were preserved between isolated and embedded conditions.

Conclusions:

  • The C. elegans connectome's structure may be inherently wired for specific behaviors.
  • Studying isolated neurobiological circuits can be misleading.
  • Context within the full connectome is critical for accurate dynamic analysis.