Evidence map›Paper›PMID 30240755›Full record

ArticleiScience2018

High Precision of Spike Timing across Olfactory Receptor Neurons Allows Rapid Odor Coding in Drosophila.

Alexander Egea-Weiss, Alpha Renner, Christoph J Kleineidam, Paul Szyszka

Abstract read
In one paragraph

Article in iScience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
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  4. Article
  5. Article
  6. Article
  7. Article
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  11. Active smelling in the American cockroach.The Journal of experimental biology · 2023
    Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Adaptive temporal processing of odor stimuli.Cell and tissue research · 2021
    Review
  19. Precise timing is ubiquitous, consistent, and coordinated across a comprehensive, spike-resolved flight motor program.Proceedings of the National Academy of Sciences of the United States of America · 2019
    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.

Alexander Egea-WeissUniversity of Konstanz, Department of Biology, Neurobiology, Konstanz 78457, Germany.
Alpha RennerUniversity of Konstanz, Department of Biology, Neurobiology, Konstanz 78457, Germany; Institute of Neuroinformatics, University of Zurich and ETH Zurich, Zürich 8057, Switzerland.
Christoph J KleineidamUniversity of Konstanz, Department of Biology, Neurobiology, Konstanz 78457, Germany.
Paul SzyszkaUniversity of Konstanz, Department of Biology, Neurobiology, Konstanz 78457, Germany. Electronic address: paul.szyszka@uni-konstanz.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, it has become evident that olfaction is a fast sense, and millisecond short differences in stimulus onsets are used by animals to analyze their olfactory environment. In contrast, olfactory receptor neurons are thought to be relatively slow and temporally imprecise. These observations have led to a conundrum: how, then, can an animal resolve fast stimulus dynamics and smell with high temporal acuity? Using parallel recordings from olfactory receptor neurons in Drosophila, we found hitherto unknown fast and temporally precise odorant-evoked spike responses, with first spike latencies (relative to odorant arrival) down to 3 ms and with a SD below 1 ms. These data provide new upper bounds for the speed of olfactory processing and suggest that the insect olfactory system could use the precise spike timing for olfactory coding and computation, which can explain insects' rapid processing of temporal stimuli when encountering turbulent odor plumes.

Indexed as

Cellular PhysiologyNeuroscienceSensory Neuroscience

Identifiers

PMID30240755
PMCPMC6147046

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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.