Evidence map›Paper›PMID 28653907›Full record

ArticleeLife2017

Olfactory receptor neurons use gain control and complementary kinetics to encode intermittent odorant stimuli.

Srinivas Gorur-Shandilya, Mahmut Demir, Junjiajia Long, Damon A Clark, Thierry Emonet

Abstract read
In one paragraph

Article in eLife, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

62 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. A vector-based strategy for olfactory navigation inbioRxiv : the preprint server for biology · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. The neuron as a direct data-driven controller.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

2 more citing papers are in PubMed but not listed here.

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.

Srinivas Gorur-ShandilyaInterdepartmental Neuroscience Program, Yale University, New Haven, United States.ORCID 0000-0002-7429-457X
Mahmut DemirDepartment of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, United States.ORCID 0000-0002-3278-7843
Junjiajia LongDepartment of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, United States.ORCID 0000-0003-3754-9614
Damon A ClarkInterdepartmental Neuroscience Program, Yale University, New Haven, United States.ORCID 0000-0001-8487-700X
Thierry EmonetInterdepartmental Neuroscience Program, Yale University, New Haven, United States.ORCID 0000-0002-6746-6564

Funding

The contribution of phenotypic variability to chemotactic performanceR01GM106189 · NIGMS · YALE UNIVERSITY · PI EMONET, THIERRY · 2013 to 2022
$2.6M
NIGMS NIH HHS R01 GM106189
6 · The paper itself

Abstract

Insects find food and mates by navigating odorant plumes that can be highly intermittent, with intensities and durations that vary rapidly over orders of magnitude. Much is known about olfactory responses to pulses and steps, but it remains unclear how olfactory receptor neurons (ORNs) detect the intensity and timing of natural stimuli, where the absence of scale in the signal makes detection a formidable olfactory task. By stimulating

Indexed as

OdorantsSmellAnimalsDrosophilaOlfactory Receptor Neuronsadaptationcomputational biologyD. melanogastergain-controlnatural stimulineurosciencenonlinear modelingolfactionsystems biologyWeber's Law

Identifiers

PMID28653907
PMCPMC5524537

What OpenQuestion holds

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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.