Evidence map›Paper›PMID 37419251›Full record

ReviewCurrent opinion in insect science2023

Extracting spatial information from temporal odor patterns: insights from insects.

Paul Szyszka, Thierry Emonet, Timothy L Edwards

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in insect science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 19 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. The Temporal Scaffolding of Sensory Organization.Annual review of psychology · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Exploration-exploitation model of moth-inspired olfactory navigation.Journal of the Royal Society, Interface · 2024
    Article
  9. Review
  10. 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

3 authors at 3 institutions in 2 countries.

Paul SzyszkaDepartment of Zoology, University of Otago, Dunedin, New Zealand. Electronic address: paul.szyszka@otago.ac.nz.
Thierry EmonetDepartment of Molecular, Cellular and Developmental Biology, Yale University, New Haven, USA.
Timothy L EdwardsSchool of Psychology, University of Waikato, Hamilton, New Zealand.
University of Otago · NZUniversity of Waikato · NZYale University · US

Funding

Characterizing odor motion detection in fliesRF1NS132840 · NINDS · YALE UNIVERSITY · PI CLARK, DAMON ALISTAIR, EMONET, THIERRY · 2023 to 2023
$1.9M
NINDS NIH HHS RF1 NS132840
6 · The paper itself

Abstract

Extracting spatial information from temporal stimulus patterns is essential for sensory perception (e.g. visual motion direction detection or concurrent sound segregation), but this process remains understudied in olfaction. Animals rely on olfaction to locate resources and dangers. In open environments, where odors are dispersed by turbulent wind, detection of wind direction seems crucial for odor source localization. However, recent studies showed that insects can extract spatial information from the odor stimulus itself, independently from sensing wind direction. This remarkable ability is achieved by detecting the fine-scale temporal pattern of odor encounters, which contains information about the location and size of an odor source, and the distance between different odor sources.

Indexed as

InsectaOdorantsAnimalsSmellWind

Identifiers

PMID37419251
PMCPMC10878403
OpenAlexW4383216735

What Socratic holds

Textmetadata
LicenceTDM
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.