Evidence map›Paper›PMID 22287949›Full record

ArticleFrontiers in neuroengineering2011

Sequential mechanisms underlying concentration invariance in biological olfaction.

Thomas A Cleland, Szu-Yu T Chen, Katarzyna W Hozer, Hope N Ukatu, Kevin J Wong, Fangfei Zheng

Abstract read
In one paragraph

Article in Frontiers in neuroengineering, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

52 citing papers in PubMed.

  1. Trial
  2. Article
  3. Order code in the olfactory system.bioRxiv : the preprint server for biology · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. A physicochemical model of odor sampling.PLoS computational biology · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Noradrenergic Activity in the Olfactory Bulb Is a Key Element for the Stability of Olfactory Memory.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Article
  18. Article
  19. Article
  20. A Systematic Framework for Olfactory Bulb Signal Transformations.Frontiers in computational neuroscience · 2020
    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

6 authors.

Thomas A ClelandComputational Physiology Laboratory, Department of Psychology, Cornell University, Ithaca NY, USA.
Szu-Yu T Chen
Katarzyna W Hozer
Hope N Ukatu
Kevin J Wong
Fangfei Zheng

Funding

CRCNS: Higher-order feature detection in olfactory bulbR01DC012249 · NIDCD · CORNELL UNIVERSITY · PI CLELAND, THOMAS A · 2011 to 2013
$704k
NIDCD NIH HHS R01 DC012249
6 · The paper itself

Abstract

Concentration invariance-the capacity to recognize a given odorant (analyte) across a range of concentrations-is an unusually difficult problem in the olfactory modality. Nevertheless, humans and other animals are able to recognize known odors across substantial concentration ranges, and this concentration invariance is a highly desirable property for artificial systems as well. Several properties of olfactory systems have been proposed to contribute to concentration invariance, but none of these alone can plausibly achieve full concentration invariance. We here propose that the mammalian olfactory system uses at least six computational mechanisms in series to reduce the concentration-dependent variance in odor representations to a level at which different concentrations of odors evoke reasonably similar representations, while preserving variance arising from differences in odor quality. We suggest that the residual variance then is treated like any other source of stimulus variance, and categorized appropriately into "odors" via perceptual learning. We further show that naïve mice respond to different concentrations of an odorant just as if they were differences in quality, suggesting that, prior to odor categorization, the learning-independent compensatory mechanisms are limited in their capacity to achieve concentration invariance.

Indexed as

categorizationcomputational neuroscienceconcentration invariancegeneralizationlearningmiceodor representationsolfactory bulb

Identifiers

PMID22287949
PMCPMC3251820

What OpenQuestion holds

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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.