Evidence map›Paper›PMID 30167457›Full record

ArticleScience advances2018

Hyperbolic geometry of the olfactory space.

Yuansheng Zhou, Brian H Smith, Tatyana O Sharpee

Abstract read
In one paragraph

Article in Science advances, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Article
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  7. Order code in the olfactory system.bioRxiv : the preprint server for biology · 2025
    Article
  8. Article
  9. Article
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  11. Representational drift and learning-induced stabilization in the piriform cortex.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  12. Topological Neuroscience: Linking Circuits to Function.Annual review of neuroscience · 2025
    Review
  13. Article
  14. Article
  15. Representational geometry explains puzzling error distributions in behavioral tasks.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  16. Article
  17. Article
  18. Tracking the topology of neural manifolds across populations.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  19. Article
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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

3 authors.

Yuansheng ZhouComputational Neurobiology Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA.ORCID 0000-0002-9867-0613
Brian H SmithSchool of Life Sciences, Arizona State University, Tempe, AZ 85287, USA.
Tatyana O SharpeeComputational Neurobiology Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA.ORCID 0000-0002-7483-5081

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the natural environment, the sense of smell, or olfaction, serves to detect toxins and judge nutritional content by taking advantage of the associations between compounds as they are created in biochemical reactions. This suggests that the nervous system can classify odors based on statistics of their co-occurrence within natural mixtures rather than from the chemical structures of the ligands themselves. We show that this statistical perspective makes it possible to map odors to points in a hyperbolic space. Hyperbolic coordinates have a long but often underappreciated history of relevance to biology. For example, these coordinates approximate the distance between species computed along dendrograms and, more generally, between points within hierarchical tree-like networks. We find that both natural odors and human perceptual descriptions of smells can be described using a three-dimensional hyperbolic space. This match in geometries can avoid distortions that would otherwise arise when mapping odors to perception.

Indexed as

MathematicsEnvironmentHumansOdorantsOlfactory PathwaysOlfactory PerceptionOrientationSmell

Identifiers

PMID30167457
PMCPMC6114987

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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.