Evidence map›Paper›PMID 35959726›Full record

ArticleeLife2022

Learning to predict target location with turbulent odor plumes.

Nicola Rigolli, Nicodemo Magnoli, Lorenzo Rosasco, Agnese Seminara

Abstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. 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
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Amplification of Olfactory Transduction Currents Implements Sparse Stimulus Encoding.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Olfactory search with finite-state controllers.Proceedings of the National Academy of Sciences of the United States of America · 2023
    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

4 authors.

Nicola RigolliDepartment of Physics, University of Genova, Genova, Italy.ORCID 0000-0002-0734-2105
Nicodemo MagnoliDepartment of Physics, University of Genova, Genova, Italy.
Lorenzo RosascoMaLGa, Department of computer science, bioengineering, robotics and systems engineering, University of Genova, Genova, Italy.
Agnese SeminaraInstitut de Physique de Nice, Université Côte d'Azur, Centre National de la Recherche Scientifique, Nice, France.ORCID 0000-0001-5633-8180

Funding

Navigation with complex odor dynamics: computational principles and neural circuit implementation in miceR01DC018789 · NIDCD · UNIVERSITY OF WASHINGTON · PI GIRE, DAVID HENRY · 2020 to 2024
$1.8M
NIDCD NIH HHS R01 DC018789
6 · The paper itself

Abstract

Animal behavior and neural recordings show that the brain is able to measure both the intensity and the timing of odor encounters. However, whether intensity or timing of odor detections is more informative for olfactory-driven behavior is not understood. To tackle this question, we consider the problem of locating a target using the odor it releases. We ask whether the position of a target is best predicted by measures of timing

Indexed as

OdorantsSmellAnimalsBehavior, Animalfluid dynamicsmachine learningnoneolfactionphysics of living systemsprediction

Identifiers

PMID35959726
PMCPMC9374438

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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 OpenQuestion graph.