Evidence map›Paper›PMID 29432454›Full record

ArticlePLoS computational biology2018

History dependence in insect flight decisions during odor tracking.

Rich Pang, Floris van Breugel, Michael Dickinson, Jeffrey A Riffell, Adrienne Fairhall

Abstract read
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

  1. Wind history shapes olfactory search response in free flyingbioRxiv : the preprint server for biology · 2026
    Article
  2. Cognitive primitives of the insect brain.Trends in cognitive sciences · 2026
    Review
  3. Inferring neural population codes forProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Active smelling in the American cockroach.The Journal of experimental biology · 2023
    Article
  10. Review
  11. Olfactory navigation in arthropods.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2023
    Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Olfactory Sensing and Navigation in Turbulent Environments.Annual review of condensed matter physics · 2022
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Rich PangNeuroscience Graduate Program, University of Washington, Seattle, Washington, United States of America.ORCID 0000-0002-2644-6110
Floris van BreugelDivision of Biology and Bioengineering, California Institute of Technology, Pasadena, California, United States of America.
Michael DickinsonDivision of Biology and Bioengineering, California Institute of Technology, Pasadena, California, United States of America.
Jeffrey A RiffellDepartment of Biology, University of Washington, Seattle, Washington, United States of America.
Adrienne FairhallDepartment of Physiology and Biophysics, University of Washington, Seattle, Washington, United States of America.

Funding

Undergraduate and graduate training in neural computation and engineeringT90DA032436 · NIDA · UNIVERSITY OF WASHINGTON · PI FAIRHALL, ADRIENNE L, SHEA-BROWN, ERIC TODD · 2011 to 2020
$1.5M
CRCNS: Decision-making in flying insects using multisensory cuesR01DC013693 · NIDCD · UNIVERSITY OF WASHINGTON · PI DICKINSON, MICHAEL H, FAIRHALL, ADRIENNE L · 2013 to 2016
$1.1M
NIDA NIH HHS T90 DA032436NIDCD NIH HHS R01 DC013693NIH HHS 5R01DC013693-02
6 · The paper itself

Abstract

Natural decision-making often involves extended decision sequences in response to variable stimuli with complex structure. As an example, many animals follow odor plumes to locate food sources or mates, but turbulence breaks up the advected odor signal into intermittent filaments and puffs. This scenario provides an opportunity to ask how animals use sparse, instantaneous, and stochastic signal encounters to generate goal-oriented behavioral sequences. Here we examined the trajectories of flying fruit flies (Drosophila melanogaster) and mosquitoes (Aedes aegypti) navigating in controlled plumes of attractive odorants. While it is known that mean odor-triggered flight responses are dominated by upwind turns, individual responses are highly variable. We asked whether deviations from mean responses depended on specific features of odor encounters, and found that odor-triggered turns were slightly but significantly modulated by two features of odor encounters. First, encounters with higher concentrations triggered stronger upwind turns. Second, encounters occurring later in a sequence triggered weaker upwind turns. To contextualize the latter history dependence theoretically, we examined trajectories simulated from three normative tracking strategies. We found that neither a purely reactive strategy nor a strategy in which the tracker learned the plume centerline over time captured the observed history dependence. In contrast, "infotaxis", in which flight decisions maximized expected information gain about source location, exhibited a history dependence aligned in sign with the data, though much larger in magnitude. These findings suggest that while true plume tracking is dominated by a reactive odor response it might also involve a history-dependent modulation of responses consistent with the accumulation of information about a source over multi-encounter timescales. This suggests that short-term memory processes modulating decision sequences may play a role in natural plume tracking.

Indexed as

OdorantsAedesAlgorithmsAnimalsBehavior, AnimalComputer SimulationDecision MakingDrosophila melanogasterFlight, AnimalLearningLinear ModelsMemory, Short-TermModels, BiologicalProbabilitySexual Behavior, AnimalSmell

Identifiers

PMID29432454
PMCPMC5828511

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.