Evidence map›Paper›PMID 37167321›Full record

ArticlePLoS computational biology2023

Temporal novelty detection and multiple timescale integration drive Drosophila orientation dynamics in temporally diverse olfactory environments.

Viraaj Jayaram, Aarti Sehdev, Nirag Kadakia, Ethan A Brown, Thierry Emonet

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.9field-weighted citation impact, top 15% of its field
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

11 citing papers in PubMed, 13 citations in OpenAlex.

  1. Fly navigational responses exploit plume-specific odor motion and gradient cues.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
  3. Article
  4. Inhibitory control explains locomotor statistics in walkingProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
  6. Inhibitory control of locomotor statistics in walkingbioRxiv : the preprint server for biology · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. 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 at 1 institution in 1 country.

Viraaj JayaramDepartment of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, Connecticut, United States of America.
Aarti SehdevDepartment of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, Connecticut, United States of America.
Nirag KadakiaDepartment of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, Connecticut, United States of America.ORCID 0000-0001-9978-6450
Ethan A BrownDepartment of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, Connecticut, United States of America.
Thierry EmonetDepartment of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, Connecticut, United States of America.ORCID 0000-0002-6746-6564
Yale University · US

Funding

Quantifying the role of adaptation in olfactory coding through the logic of navigationF32MH118700 · NIMH · YALE UNIVERSITY · PI KADAKIA, NIRAG · 2018 to 2021
$207k
Detecting the motion of odors: Olfactory direction sensing in DrosophilaK99DC019397 · NIDCD · YALE UNIVERSITY · PI KADAKIA, NIRAG · 2021 to 2022
$155k
NIDCD NIH HHS K99 DC019397NIMH NIH HHS F32 MH118700
6 · The paper itself

Abstract

To survive, insects must effectively navigate odor plumes to their source. In natural plumes, turbulent winds break up smooth odor regions into disconnected patches, so navigators encounter brief bursts of odor interrupted by bouts of clean air. The timing of these encounters plays a critical role in navigation, determining the direction, rate, and magnitude of insects' orientation and speed dynamics. Disambiguating the specific role of odor timing from other cues, such as spatial structure, is challenging due to natural correlations between plumes' temporal and spatial features. Here, we use optogenetics to isolate temporal features of odor signals, examining how the frequency and duration of odor encounters shape the navigational decisions of freely-walking Drosophila. We find that fly angular velocity depends on signal frequency and intermittency-the fraction of time signal can be detected-but not directly on durations. Rather than switching strategies when signal statistics change, flies smoothly transition between signal regimes, by combining an odor offset response with a frequency-dependent novelty-like response. In the latter, flies are more likely to turn in response to each odor hit only when the hits are sparse. Finally, the upwind bias of individual turns relies on a filtering scheme with two distinct timescales, allowing rapid and sustained responses in a variety of signal statistics. A quantitative model incorporating these ingredients recapitulates fly orientation dynamics across a wide range of environments and shows that temporal novelty detection, when combined with odor motion detection, enhances odor plume navigation.

Indexed as

DrosophilaSmellAnimalsCuesInsectaOdorants

Identifiers

PMID37167321
PMCPMC10205008
OpenAlexW4376225793

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.