Evidence map›Paper›PMID 40857082›Full record

ArticleeLife2025

Adaptation invariant concentration discrimination in an insect olfactory system.

Doris Ling, Lijun Zhang, Debajit Saha, Alex Bo-Yuan Chen, Baranidharan Raman

Abstract read
In one paragraph

Article in eLife, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
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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.

Doris Ling *Department of Biomedical Engineering, Washington University in St. Louis, St Louis, United States.
Lijun Zhang *Department of Electrical and Systems Engineering, Washington University in St. Louis, St Louis, United States.
Debajit Saha *Department of Biomedical Engineering, Washington University in St. Louis, St Louis, United States.ORCID https://orcid.org/0000-0003-3136-9946
Alex Bo-Yuan ChenDepartment of Biomedical Engineering, Washington University in St. Louis, St Louis, United States.ORCID https://orcid.org/0000-0003-3950-4460
Baranidharan RamanDepartment of Biomedical Engineering, Washington University in St. Louis, St Louis, United States.ORCID https://orcid.org/0000-0002-7866-155X

Funding

National Science Foundation 1707221National Science Foundation 1724218National Science Foundation 2021795National Science Foundation 2319060Office of Naval Research N00014-19-1-2049Office of Naval Research N00014-21-1-2343Washington University in St. Louis Imaging Sciences Fellowship
6 · The paper itself

Abstract

Neural responses evoked by a stimulus reduce upon repetition. While this adaptation allows the sensory system to attend to novel cues, does information about the recurring stimulus, particularly its intensity, get compromised? We explored this issue in the locust olfactory system. We found that locusts' innate behavioral response to odorants varied with repetition and stimulus intensity. Counterintuitively, the stimulus-intensity dependent differences became significant only after adaptation had set in. Adaptation altered responses of individual neurons in the antennal lobe (neural network downstream to insect antenna). These response variations to repetitions of the same stimulus were unpredictable and inconsistent across intensities. Although both adaptation and intensity decrements resulted in an overall reduction in spiking activities across neurons, these changes could be disentangled, and information about stimulus intensity was robustly maintained by ensemble neural responses. In sum, these results show how information about odor intensity can be preserved in an adaptation-invariant manner.

Indexed as

Adaptation, PhysiologicalGrasshoppersOlfactory PathwaysOlfactory PerceptionSmellAnimalsArthropod AntennaeBehavior, AnimalOdorantsAdaptationintensityinvariancelocustneuroscienceolfaction

Identifiers

PMID40857082
PMCPMC12380430

What OpenQuestion holds

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Registered trials

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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.