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

Chemotaxis and Direction of Cell Migration01:21

Chemotaxis and Direction of Cell Migration

Cells can detect chemical cues in their environment and reorganize the cytoskeleton to migrate toward them or away from them. This directional migration, called chemotaxis, is essential during embryogenesis and development, immune response, tissue repair and regeneration, and reproduction. These chemical cues can either attract or repel the cell's movement. For example, axon development is determined by a combination of chemoattractants and chemorepellents that direct the growing axon towards...

You might also read

Related Articles

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

Sort by
Same author

Efficacy and effectiveness of robot-assisted therapy for autism spectrum disorder: From lab to reality.

Science robotics·2025
Same author

How to train a self-driving vehicle: On the added value (or lack thereof) of curriculum learning and replay buffers.

Frontiers in artificial intelligence·2023
Same author

Reflection Machines: Supporting Effective Human Oversight Over Medical Decision Support Systems.

Cambridge quarterly of healthcare ethics : CQ : the international journal of healthcare ethics committees·2023
Same author

The world seems different in a social context: A neural network analysis of human experimental data.

PloS one·2022
Same author

Implementing Affordable Socially Assistive Pet Robots in Care Homes Before and During the COVID-19 Pandemic: Stratified Cluster Randomized Controlled Trial and Mixed Methods Study.

JMIR aging·2022
Same author

Voice-Enabled Intelligent Virtual Agents for People With Amnesia: Systematic Review.

JMIR aging·2022
Same journal

Effect of network topology on neuronal encoding based on spatiotemporal patterns of spikes.

HFSP journal·2010
Same journal

From genes to neural tube defects (NTDs): insights from multiscale computational modeling.

HFSP journal·2010
Same journal

Cytoskeletal dynamics in fission yeast: a review of models for polarization and division.

HFSP journal·2010
Same journal

Biocrystallography: past, present, future.

HFSP journal·2010
Same journal

Robustness versus evolvability: a paradigm revisited.

HFSP journal·2010
Same journal

Molecular motors as an auto-oscillator.

HFSP journal·2010
See all related articles

Related Experiment Video

Updated: Jun 23, 2026

C. elegans Tracking and Behavioral Measurement
07:36

C. elegans Tracking and Behavioral Measurement

Published on: November 17, 2012

Understanding complex behaviors by analyzing optimized models: C. elegans gradient navigation.

Serge Thill1, Tim C Pearce

  • 1Centre for Bioengineering, Department of Engineering, University of Leicester, Leicester, LE1 7RH, United Kingdom.

HFSP Journal
|May 1, 2009
PubMed
Summary
This summary is machine-generated.

Energy efficiency shapes how Caenorhabditis elegans (C. elegans) worms navigate chemical gradients. Optimized behavioral sequences reveal strategies like pirouettes, mimicking natural C. elegans navigation.

More Related Videos

Automated Analysis of C. elegans Swim Behavior Using CeleST Software
08:47

Automated Analysis of C. elegans Swim Behavior Using CeleST Software

Published on: December 7, 2016

C. elegans Chemotaxis Assay
06:28

C. elegans Chemotaxis Assay

Published on: April 27, 2013

Related Experiment Videos

Last Updated: Jun 23, 2026

C. elegans Tracking and Behavioral Measurement
07:36

C. elegans Tracking and Behavioral Measurement

Published on: November 17, 2012

Automated Analysis of C. elegans Swim Behavior Using CeleST Software
08:47

Automated Analysis of C. elegans Swim Behavior Using CeleST Software

Published on: December 7, 2016

C. elegans Chemotaxis Assay
06:28

C. elegans Chemotaxis Assay

Published on: April 27, 2013

Area of Science:

  • Computational Neuroscience
  • Behavioral Biology
  • Systems Biology

Background:

  • Complex behaviors, like C. elegans chemical gradient navigation, involve sequential organization of individual behavioral units.
  • Understanding the principles governing this organization is crucial for deciphering the functional basis of behavior.

Purpose of the Study:

  • To investigate how energy efficiency influences the sequential arrangement of behavioral units in C. elegans chemical gradient navigation.
  • To develop a model predicting optimal behavioral unit organization for energy-efficient navigation.

Main Methods:

  • Applied an optimization scheme to an existing probabilistic model of C. elegans chemical gradient navigation.
  • Analyzed the resulting family of solutions to identify general principles of behavioral unit organization.

Main Results:

  • Identified a family of energy-efficient solutions for behavioral unit sequencing.
  • Observed that reorientation behavior in virtual worms mimics the pirouette strategy of C. elegans.
  • Model predicts pirouettes are linked to impaired gradient evaluation during turns and lack of response during reversal.

Conclusions:

  • Energy efficiency is a significant factor shaping C. elegans gradient navigation strategies.
  • The developed framework provides insights into behavioral unit organization and may aid in studying the neural basis of behavior.