Evidence map›Paper›PMID 22232601›Full record

ArticleFrontiers in neuroengineering2011

Parallel representation of stimulus identity and intensity in a dual pathway model inspired by the olfactory system of the honeybee.

Michael Schmuker, Nobuhiro Yamagata, Martin Paul Nawrot, Randolf Menzel

Open access · hybridAbstract 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 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
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, 41 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Independent processing of increments and decrements in odorant concentration by ON and OFF olfactory receptor neurons.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2018
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Parallel pathways convey olfactory information with opposite polarities in Drosophila.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  15. A neuromorphic network for generic multivariate data classification.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  16. Article
  17. Parallel processing in the honeybee olfactory pathway: structure, function, and evolution.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2013
    Review
  18. Parallel processing via a dual olfactory pathway in the honeybee.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2013
    Article
  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 at 3 institutions in 2 countries.

Michael SchmukerNeuroinformatics and Theoretical Neuroscience, Institute of Biology, Freie Universität Berlin Berlin, Germany.
Nobuhiro Yamagata
Martin Paul Nawrot
Randolf Menzel
Bernstein Center for Computational Neuroscience Berlin · DEFreie Universität Berlin · DETohoku University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The honeybee Apis mellifera has a remarkable ability to detect and locate food sources during foraging, and to associate odor cues with food rewards. In the honeybee's olfactory system, sensory input is first processed in the antennal lobe (AL) network. Uniglomerular projection neurons (PNs) convey the sensory code from the AL to higher brain regions via two parallel but anatomically distinct pathways, the lateral and the medial antenno-cerebral tract (l- and m-ACT). Neurons innervating either tract show characteristic differences in odor selectivity, concentration dependence, and representation of mixtures. It is still unknown how this differential stimulus representation is achieved within the AL network. In this contribution, we use a computational network model to demonstrate that the experimentally observed features of odor coding in PNs can be reproduced by varying lateral inhibition and gain control in an otherwise unchanged AL network. We show that odor coding in the l-ACT supports detection and accurate identification of weak odor traces at the expense of concentration sensitivity, while odor coding in the m-ACT provides the basis for the computation and following of concentration gradients but provides weaker discrimination power. Both coding strategies are mutually exclusive, which creates a tradeoff between detection accuracy and sensitivity. The development of two parallel systems may thus reflect an evolutionary solution to this problem that enables honeybees to achieve both tasks during bee foraging in their natural environment, and which could inspire the development of artificial chemosensory devices for odor-guided navigation in robots.

Indexed as

antennal lobecomputational modeldual pathway odor codinghoneybee foragingmixture coding

Identifiers

PMID22232601
PMCPMC3246696
OpenAlexW2113438379

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.