Evidence map›Paper›PMID 25356586›Full record

ArticlePloS one2014

Understanding odor information segregation in the olfactory bulb by means of mitral and tufted cells.

Davide Polese, Eugenio Martinelli, Santiago Marco, Corrado Di Natale, Agustin Gutierrez-Galvez

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Effect of Interglomerular Inhibitory Networks on Olfactory Bulb Odor Representations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
    Article
  3. Article
  4. 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

5 authors at 3 institutions in 2 countries.

Davide PoleseIstituto per la Microelettronica e Microsistemi, Consiglio Nazionale delle Ricerche, Roma, Italy.
Eugenio MartinelliUniversity of Rome Tor Vergata, Electronic Engineering Department, Roma, Italy.
Santiago MarcoInstitute for Bioengineering of Catalonia, Barcelona, Spain; Universitat de Barcelona, Electronics Department, Barcelona, Spain.
Corrado Di NataleUniversity of Rome Tor Vergata, Electronic Engineering Department, Roma, Italy.
Agustin Gutierrez-GalvezInstitute for Bioengineering of Catalonia, Barcelona, Spain; Universitat de Barcelona, Electronics Department, Barcelona, Spain.
Institute for Bioengineering of Catalonia · ESUniversity of Rome Tor Vergata · ITInstitute for Microelectronics and Microsystems · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Odor identification is one of the main tasks of the olfactory system. It is performed almost independently from the concentration of the odor providing a robust recognition. This capacity to ignore concentration information does not preclude the olfactory system from estimating concentration itself. Significant experimental evidence has indicated that the olfactory system is able to infer simultaneously odor identity and intensity. However, it is still unclear at what level or levels of the olfactory pathway this segregation of information occurs. In this work, we study whether this odor information segregation is performed at the input stage of the olfactory bulb: the glomerular layer. To this end, we built a detailed neural model of the glomerular layer based on its known anatomical connections and conducted two simulated odor experiments. In the first experiment, the model was exposed to an odor stimulus dataset composed of six different odorants, each one dosed at six different concentrations. In the second experiment, we conducted an odor morphing experiment where a sequence of binary mixtures going from one odor to another through intermediate mixtures was presented to the model. The results of the experiments were visualized using principal components analysis and analyzed with hierarchical clustering to unveil the structure of the high-dimensional output space. Additionally, Fisher's discriminant ratio and Pearson's correlation coefficient were used to quantify odor identity and odor concentration information respectively. Our results showed that the architecture of the glomerular layer was able to mediate the segregation of odor information obtaining output spiking sequences of the principal neurons, namely the mitral and external tufted cells, strongly correlated with odor identity and concentration, respectively. An important conclusion is also that the morphological difference between the principal neurons is not key to achieve odor information segregation.

Indexed as

Models, NeurologicalNeural Networks, ComputerAnimalsHumansOdorantsOlfactory BulbOlfactory PerceptionSmell

Identifiers

PMID25356586
PMCPMC4214673
OpenAlexW2094190438

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.