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: May 30, 2026

Tracking Drosophila Larval Behavior in Response to Optogenetic Stimulation of Olfactory Neurons
06:49

Tracking Drosophila Larval Behavior in Response to Optogenetic Stimulation of Olfactory Neurons

Published on: March 21, 2018

Modeling peripheral olfactory coding in Drosophila larvae.

Derek J Hoare1, James Humble, Ding Jin

  • 1Faculty of Life Sciences, The University of Manchester, Manchester, United Kingdom.

Plos One
|August 23, 2011
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

Hybrid-delivered cognitive behavioral symptom management and activity coaching intervention for patients following hematopoietic stem cell transplant or CAR T-cell therapy: Protocol of a randomized controlled trial.

Contemporary clinical trials·2026
Same author

Impact of First-Line Maintenance Immunotherapy With or Without Pemetrexed for Non-Squamous Advanced/Metastatic Non-Small Cell Lung Cancer Lacking Targetable Mutations: A Real-World Analysis in England.

Clinical lung cancer·2026
Same author

Methods of Computational Modelling in Studies of Transcranial Direct Current Stimulation (tDCS) in Adults to Inform Protocols for Tinnitus Treatment: A Scoping Review.

Brain sciences·2026
Same author

Validity, reliability, and readability of Artificial Intelligence chatbots as public sources of information on hearing loss: a comparative evaluation of ChatGPT, Bing, Gemini, and Perplexity.

International journal of audiology·2025
Same author

Auricular Ultrasonic Vagus Nerve Stimulation: Effectiveness of Blinding and Occurrence of Adverse Effects in Healthy Volunteers.

Brain sciences·2025
Same author

The Zwicker tone as a model to investigate auditory processing and tinnitus: a scoping review.

Frontiers in neuroscience·2025
Same journal

Invaders taking over-Mollusc faunal change in volcanic barrier lakes of the Albertine Rift biodiversity hotspot.

PloS one·2026
Same journal

AI-driven molecular diversification and ligand-based optimization of macitentan derivatives targeting VEGFR1 and endothelin signaling pathways.

PloS one·2026
Same journal

Performance patterns and records in the world aquatics masters championships: Where do the most frequently represented nations among the top-ten masters swimmers come from?

PloS one·2026
Same journal

Modeling diurnal Temperature-Rainfall relationships under multicollinearity using PLS-SEM: A case study of Ghana.

PloS one·2026
Same journal

Organizational culture, social capital, and emergency capacity in primary healthcare institutions: A cross-sectional structural equation modeling study comparing ordinary and older communities.

PloS one·2026
Same journal

Impact of kidney function on the metabolome in the general population.

PloS one·2026
See all related articles

Investigating the olfactory code in Drosophila larvae, this study used electrophysiology and computational modeling to decode odor information. The developed model accurately predicted odor identity from olfactory sensory neuron responses, revealing insights into olfactory processing.

Area of Science:

  • Neuroscience
  • Olfactory System Research
  • Computational Biology

Background:

  • Drosophila larvae have 21 unique olfactory sensory neuron (OSN) pairs, ideal for studying the peripheral olfactory code.
  • Understanding how individual OSN classes contribute to olfactory coding is crucial for deciphering sensory information processing.

Purpose of the Study:

  • To investigate the peripheral olfactory code in Drosophila larvae using electrophysiology and computational modeling.
  • To determine the contribution of individual olfactory sensory neuron classes to odor detection and discrimination.

Main Methods:

  • Recorded electrophysiological responses of 19/21 OSN classes to 19 odors in genetically modified larvae.
  • Developed a Bayesian decoding model incorporating OSN responses and spontaneous activity.

More Related Videos

Whole Mount Immunolabeling of Olfactory Receptor Neurons in the Drosophila Antenna
05:21

Whole Mount Immunolabeling of Olfactory Receptor Neurons in the Drosophila Antenna

Published on: May 4, 2014

High-resolution Measurement of Odor-Driven Behavior in Drosophila Larvae
29:23

High-resolution Measurement of Odor-Driven Behavior in Drosophila Larvae

Published on: January 3, 2008

Related Experiment Videos

Last Updated: May 30, 2026

Tracking Drosophila Larval Behavior in Response to Optogenetic Stimulation of Olfactory Neurons
06:49

Tracking Drosophila Larval Behavior in Response to Optogenetic Stimulation of Olfactory Neurons

Published on: March 21, 2018

Whole Mount Immunolabeling of Olfactory Receptor Neurons in the Drosophila Antenna
05:21

Whole Mount Immunolabeling of Olfactory Receptor Neurons in the Drosophila Antenna

Published on: May 4, 2014

High-resolution Measurement of Odor-Driven Behavior in Drosophila Larvae
29:23

High-resolution Measurement of Odor-Driven Behavior in Drosophila Larvae

Published on: January 3, 2008

  • Validated model predictions using behavioral assays for odor identification and discrimination.

    • Main Results:

    • Each OSN class exhibited specific odor response profiles, though some responses were variable and near background levels.
    • The Bayesian model accurately predicted odor identity from OSN responses (12%-77% accuracy, 45.2% mean), significantly above chance.
    • Model predictions for odor discrimination partially aligned with behavioral assay results, indicating limitations in predicting behavioral outcomes solely from peripheral coding.

    Conclusions:

    • The developed model captures fundamental aspects of peripheral olfactory coding in Drosophila.
    • The study provides insights into the information available to higher brain centers for olfactory processing.
    • Peripheral olfactory code complexity influences, but does not fully determine, behavioral responses to odors.