Evidence map›Paper›PMID 33511470›Full record

ReviewCell and tissue research2021

Learning-dependent plasticity in the antennal lobe improves discrimination and recognition of odors in the honeybee.

Emiliano Marachlian, Martin Klappenbach, Fernando Locatelli

Abstract readReview
PubMed Publisher
In one paragraph

Review in Cell and tissue research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed, 16 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Emiliano MarachlianInstitut de Biologie de l'Ecole Normale Supérieure (IBENS), Ecole Normale Supérieure, CNRS, INSERM, PSL Université Paris, Paris, France.
Martin KlappenbachDepartamento de Fisiología, Biología Molecular y Celular e Instituto de Fisiología, Facultad de Ciencias Exactas y Naturales, Biología Molecular y Neurociencias, Universidad de Buenos Aires, C1428EHA, Buenos Aires, Argentina.
Fernando LocatelliDepartamento de Fisiología, Biología Molecular y Celular e Instituto de Fisiología, Facultad de Ciencias Exactas y Naturales, Biología Molecular y Neurociencias, Universidad de Buenos Aires, C1428EHA, Buenos Aires, Argentina. locatellif@fbmc.fcen.uba.ar.ORCID http://orcid.org/0000-0002-8415-8264
Universidad de Buenos Aires · ARCentre National de la Recherche Scientifique · FR

Funding

ANPCyT PICT 2016-1755ANPCyT PICT 2017-1285ANPCyT PICT 2017 2284
6 · The paper itself

Abstract

Honeybees are extensively used to study olfactory learning and memory processes thanks to their ability to discriminate and remember odors and because of their advantages for optophysiological recordings of the circuits involved in memory and odor perception. There are evidences that the encoding of odors in areas of primary sensory processing is not rigid, but undergoes changes caused by olfactory experience. The biological meaning of these changes is focus of intense discussions. Along this review, we present evidences of plasticity related to different forms of learning and discuss its function in the context of olfactory challenges that honeybees have to solve. So far, results in honeybees are consistent with a model in which changes in early olfactory processing contributes to the ability of an animal to recognize the presence of relevant odors and facilitates the discrimination of odors in a way adjusted to its own experience.

Indexed as

AnimalsBeesNeuronal PlasticityOlfactory PathwaysAntennal lobeHoneybeesLearningOlfactionPlasticity

Identifiers

PMID33511470
OpenAlexW3123340074

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.