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 Video

Updated: Mar 22, 2026

Author Spotlight: Exploring Behavioral Pathways Through Cross-Species Insights in Foraging and Communication
03:53

Author Spotlight: Exploring Behavioral Pathways Through Cross-Species Insights in Foraging and Communication

Published on: November 17, 2023

1.6K

Drosophila learn efficient paths to a food source.

Rapeechai Navawongse1, Deepak Choudhury2, Marlena Raczkowska1

  • 1Institute of Molecular and Cell Biology, 61 Biopolis Drive, Singapore 138673, Singapore.

Neurobiology of Learning and Memory
|April 12, 2016
PubMed
Summary

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

Two-photon characterisation of long-Stokes-shift dye ATTO 490LS for single-laser multicolour imaging.

microPublication biology·2026
Same author

Unique Digital Images as Incentives in Clinical Trials: A Digital Shift Toward Meaningful Participation.

Journal of medical Internet research·2026
Same author

Towards sustainable serum-free media development from alternative sources for cultivated meat.

Food research international (Ottawa, Ont.)·2026
Same author

Bridging the Gap in Cryopreservation: A Review of Cryoprotectant Innovation and Global Market Trends.

Bioengineering (Basel, Switzerland)·2026
Same author

Scaling up cultivated meat bioprocessing: a mechanistic review of computational fluid dynamics as a rational design tool.

Bioresource technology·2026
Same author

Cultivated ingredients: a strategic pivot for cultivated meat?

Trends in biotechnology·2026
Same journal

Double dissociation in the involvement of noradrenergic and endocannabinoid systems in classical and higher-order conditioning in newborn rabbits.

Neurobiology of learning and memory·2026
Same journal

An occasion for reflection: Pavlovian modulation of conditioned responding by interoceptive drug stimuli.

Neurobiology of learning and memory·2026
Same journal

Chemogenetic disruption of the hippocampus impairs gustatory preconditioning in rats.

Neurobiology of learning and memory·2026
Same journal

Corrigendum to "Dynamic regulation of neuronal vault trafficking and RNA cargo by the noncoding RNA, Vaultrc5" [Neurobiol. Learn. Memory 225 (2026) 108161].

Neurobiology of learning and memory·2026
Same journal

Modeling the coexistence of NMDAR-dependent LTP and LTD mediated by changes in AMPAR conductance.

Neurobiology of learning and memory·2026
Same journal

No evidence for a protein-synthesis-dependent form of long-term fear memory: Translational inhibition and neural inactivation disrupt short- and long-term memory measures to the same degree.

Neurobiology of learning and memory·2026
See all related articles
This summary is machine-generated.

Researchers developed a microfluidic system to dynamically control food access for fruit flies. This innovation reveals that flies learn to improve their food-seeking paths, advancing neuroscience research.

Area of Science:

  • Neuroscience
  • Behavioral Biology
  • Microfluidics

Background:

  • Understanding the genetic and neuronal basis of learned behavior is crucial in neuroscience.
  • Drosophila melanogaster is a key model organism, but studying its feeding behavior has been limited by scale challenges.
  • Dynamic food delivery methods, common in rodent studies, were previously unavailable for flies.

Purpose of the Study:

  • To develop a novel method for dynamically controlling food access in fruit flies.
  • To investigate learned food-seeking behavior in Drosophila melanogaster.
  • To enable advanced analysis of feeding behavior and learning in flies.

Main Methods:

  • Development of a microfluidic chip integrated with machine vision and automation.
  • Dynamic control of liquid food presentations and sensory stimuli delivery.
Keywords:
BehaviorDrosophilaDrug screeningFeeding taskFliesLearning assaySkinner box

More Related Videos

Foraging Path-length Protocol for Drosophila melanogaster Larvae
07:26

Foraging Path-length Protocol for Drosophila melanogaster Larvae

Published on: April 23, 2016

10.0K
A Single-fly Assay for Foraging Behavior in Drosophila
13:01

A Single-fly Assay for Foraging Behavior in Drosophila

Published on: November 4, 2013

13.8K

Related Experiment Videos

Last Updated: Mar 22, 2026

Author Spotlight: Exploring Behavioral Pathways Through Cross-Species Insights in Foraging and Communication
03:53

Author Spotlight: Exploring Behavioral Pathways Through Cross-Species Insights in Foraging and Communication

Published on: November 17, 2023

1.6K
Foraging Path-length Protocol for Drosophila melanogaster Larvae
07:26

Foraging Path-length Protocol for Drosophila melanogaster Larvae

Published on: April 23, 2016

10.0K
A Single-fly Assay for Foraging Behavior in Drosophila
13:01

A Single-fly Assay for Foraging Behavior in Drosophila

Published on: November 4, 2013

13.8K
  • Observation and analysis of fly path efficiency during food approach.
  • Main Results:

    • The microfluidic system successfully enabled dynamic control of food availability for flies.
    • Repeated food presentations at a fixed location led to improved path efficiency in food approach.
    • This demonstrates that improved path choice during food seeking is a learned behavior in flies.

    Conclusions:

    • The developed microfluidic system overcomes previous limitations in studying fly feeding behavior.
    • This technology provides a valuable tool for analyzing learned feeding behaviors in Drosophila.
    • The findings highlight the capacity for learned path optimization in fruit flies.