Evidence map›Paper›PMID 3233263›Full record

ArticleBiophysical journal1988

Principles of odor coding and a neural network for odor discrimination.

D Schild

Abstract read
In one paragraph

Article in Biophysical journal, 1988. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Vectorial principles of sensorimotor decoding.Frontiers in human neuroscience · 2025
    Review
  2. Review
  3. A physicochemical model of odor sampling.PLoS computational biology · 2021
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Brain-computer symbiosis.Journal of neural engineering · 2008
    Review
  12. Assessment and discrimination of odor stimuli in rat olfactory bulb by dynamic functional MRI.Proceedings of the National Academy of Sciences of the United States of America · 2000
    Article
  13. An olfactory sensory neuron line, odora, properly targets olfactory proteins and responds to odorants.The Journal of neuroscience : the official journal of the Society for Neuroscience · 1999
    Article
  14. Article
  15. Article
  16. Probability model for molecular recognition in biological receptor repertoires: significance to the olfactory system.Proceedings of the National Academy of Sciences of the United States of America · 1993
    Article
  17. Article
  18. 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

1 author.

D SchildPhysiologisches Institut der Universität Göttingen, Federal Republic of Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A concept of olfactory coding is proposed. It describes the stimulus responses of all receptor cells by the use of vector spaces. The morphological convergence pattern between receptor cells and glomeruli is given in the same vector space as the receptor cell activities. The overall input of a glomerulus follows as the scalar product of the receptor cell activity vector and the vector of the glomerulus' convergence pattern. The proposed coding concept shows how the network of the olfactory bulb succeeds in discriminating odors with high selectivity. It is concluded that sets of mitral cells coding similar odors work very much in the way of mutually inhibited matched filters. This solves one main problem both in olfaction as well as real-time odor detection by an artificial nose, i.e., how the fairly low degree of selectivity of receptor cells or sensors is overcome by the neural network following the receptor stage. The formal description of olfactory coding suggests that quality perception which is invariant under concentration shifts is accomplished by an associative memory in the olfactory bulb.

Indexed as

Discrimination, PsychologicalModels, NeurologicalModels, PsychologicalSmellAnimalsNeuronsNoseOdorantsOlfactory PathwaysSensory Receptor CellsSoftware

Identifiers

PMID3233263
PMCPMC1330413

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.