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 Experiment Videos

How do insects use path integration for their navigation?

M Collett1, T S Collett

  • 1Department of Zoology, University of Oxford, UK.

Biological Cybernetics
|September 28, 2000
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Correction: Honeybee navigation en route to the goal: visual flight control and odometry.

The Journal of experimental biology·2025
Same author

Expression of Concern: Honeybee navigation en route to the goal: visual flight control and odometry.

The Journal of experimental biology·2024
Same author

Loss-of-function mutations of Dynamin 2 promote T-ALL by enhancing IL-7 signalling.

Leukemia·2016
Same author

Effective use of an audit tool devised to optimize the management of syphilis in an integrated sexual health clinic.

International journal of STD & AIDS·2011
Same author

Migration and stopover in a small pelagic seabird, the Manx shearwater Puffinus puffinus: insights from machine learning.

Proceedings. Biological sciences·2009
Same author

Novel landmark-guided routes in ants.

The Journal of experimental biology·2007
Same journal

Harmonic memory in phasor neural networks.

Biological cybernetics·2026
Same journal

Correction: Decreased spinal inhibition leads to undiversified locomotor patterns.

Biological cybernetics·2026
Same journal

Foundational issues of network models in biology.

Biological cybernetics·2026
Same journal

Dynamical mechanisms for coordinating long-term working memory based on the precision of spike-timing in cortical neurons.

Biological cybernetics·2026
Same journal

Distinct dopaminergic spike-timing-dependent plasticity rules are suited to different functional roles.

Biological cybernetics·2026
Same journal

Fluctuation-response relations for a two-stage population of spiking neurons stimulated by common noise.

Biological cybernetics·2026
See all related articles

Insects like ants and bees use path integration (PI) for navigation, updating their position relative to a nest. PI interacts with landmark navigation, with visual cues calibrating PI for long-term accuracy.

Area of Science:

  • Animal Behavior
  • Neuroethology
  • Navigation

Background:

  • Insects, including ants and bees, exhibit sophisticated navigation capabilities.
  • Path integration (PI) is a fundamental mechanism for estimating position relative to a starting point.
  • The interplay between PI and landmark-based navigation in insects requires further elucidation.

Purpose of the Study:

  • To explain how ants and bees navigate using path integration.
  • To investigate the interaction between path integration and other navigation strategies.
  • To present models of vector navigation based on path integration.

Main Methods:

  • Integration of experimental findings from ants and bees.
  • Building upon existing theoretical models of insect navigation.

Related Experiment Videos

  • Development of three models for vector navigation utilizing path integration.
  • Main Results:

    • Path integration relies on an internal accumulator tracking position relative to the nest.
    • Vector navigation, a key component of PI, enables navigation in unfamiliar environments or without landmarks.
    • Insects can switch between path integration and landmark navigation, with landmark use not disrupting PI.

    Conclusions:

    • Path integration and landmark navigation exhibit a complementary relationship.
    • Vector navigation is crucial for navigating without landmarks, while landmarks aid PI calibration.
    • The learning of visual landmarks is facilitated by path integration, demonstrating a synergistic interaction.