Evidence map›Paper›PMID 30806351›Full record

ArticleeLife2019

Adaptation of olfactory receptor abundances for efficient coding.

Tiberiu Teşileanu, Simona Cocco, Rémi Monasson, Vijay Balasubramanian

Abstract read
In one paragraph

Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Convergent motifs of early olfactory processing are recapitulated by layer-wise efficient coding.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Article
  5. When noncanonical olfaction is optimal.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Neural Circuits for Fast Poisson Compressed Sensing in the Olfactory Bulb.Advances in neural information processing systems · 2023
    Article
  13. Review
  14. Efficient processing of natural scenes in visual cortex.Frontiers in cellular neuroscience · 2022
    Review
  15. Article
  16. Article
  17. Article
  18. Review
  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.

Tiberiu TeşileanuCenter for Computational Biology, Flatiron Institute, New York, United States.ORCID 0000-0003-3107-3088
Simona CoccoLaboratoire de Physique Statistique, École Normale Supérieure and CNRS UMR 8550, PSL Research, UPMC Sorbonne Université, Paris, France.
Rémi MonassonLaboratoire de Physique Théorique, École Normale Supérieure and CNRS UMR 8550, PSL Research, UPMC Sorbonne Université, Paris, France.ORCID 0000-0002-4459-0204
Vijay BalasubramanianInitiative for the Theoretical Sciences, The Graduate Center, City University of New York, New York, United States.ORCID 0000-0002-6497-3819

Funding

Aspen Center for Physics PHY-160761National Science Foundation PHY-1734030Simons Foundation 400425United States - Israel Binational Science Foundation 2011058US-Israel Binational Science Foundation 2011058
6 · The paper itself

Abstract

Olfactory receptor usage is highly heterogeneous, with some receptor types being orders of magnitude more abundant than others. We propose an explanation for this striking fact: the receptor distribution is tuned to maximally represent information about the olfactory environment in a regime of efficient coding that is sensitive to the global context of correlated sensor responses. This model predicts that in mammals, where olfactory sensory neurons are replaced regularly, receptor abundances should continuously adapt to odor statistics. Experimentally, increased exposure to odorants leads variously, but reproducibly, to increased, decreased, or unchanged abundances of different activated receptors. We demonstrate that this diversity of effects is required for efficient coding when sensors are broadly correlated, and provide an algorithm for predicting which olfactory receptors should increase or decrease in abundance following specific environmental changes. Finally, we give simple dynamical rules for neural birth and death processes that might underlie this adaptation.

Indexed as

Adaptation, PhysiologicalAnimalsMammalsModels, NeurologicalOdorantsReceptors, OdorantReceptors, OdorantD. melanogasterefficient codingmouseolfactionphysics of living systemsreceptor distribution

Identifiers

PMID30806351
PMCPMC6398974

What OpenQuestion holds

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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.