Evidence map›Paper›PMID 34827804›Full record

ReviewAnimals : an open access journal from MDPI2021

The Sense of Number in Fish, with Particular Reference to Its Neurobiological Bases.

Andrea Messina, Davide Potrich, Ilaria Schiona, Valeria Anna Sovrano, Giorgio Vallortigara

Open access · goldAbstract readReview
In one paragraph

Review in Animals : an open access journal from MDPI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 13 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

5 authors at 1 institution in 1 country.

Andrea MessinaCentre for Mind/Brain Sciences, University of Trento, 38068 Rovereto, Italy.ORCID 0000-0001-7363-4301
Davide PotrichCentre for Mind/Brain Sciences, University of Trento, 38068 Rovereto, Italy.ORCID 0000-0003-0928-628X
Ilaria SchionaCentre for Mind/Brain Sciences, University of Trento, 38068 Rovereto, Italy.
Valeria Anna SovranoCentre for Mind/Brain Sciences, University of Trento, 38068 Rovereto, Italy.
Giorgio VallortigaraCentre for Mind/Brain Sciences, University of Trento, 38068 Rovereto, Italy.ORCID 0000-0001-8192-9062
University of Trento · IT

Funding

European Research Council 833504-SPANUMBRAPRIN 2017 grant 2017PSRHPZ
6 · The paper itself

Abstract

It is widely acknowledged that vertebrates can discriminate non-symbolic numerosity using an evolutionarily conserved system dubbed Approximate Number System (ANS). Two main approaches have been used to assess behaviourally numerosity in fish: spontaneous choice tests and operant training procedures. In the first, animals spontaneously choose between sets of biologically-relevant stimuli (e.g., conspecifics, food) differing in quantities (smaller or larger). In the second, animals are trained to associate a numerosity with a reward. Although the ability of fish to discriminate numerosity has been widely documented with these methods, the molecular bases of quantities estimation and ANS are largely unknown. Recently, we combined behavioral tasks with molecular biology assays (e.g c-fos and egr1 and other early genes expression) showing that the thalamus and the caudal region of dorso-central part of the telencephalon seem to be activated upon change in numerousness in visual stimuli. In contrast, the retina and the optic tectum mainly responded to changes in continuous magnitude such as stimulus size. We here provide a review and synthesis of these findings.

Indexed as

approximate number systemfish cognitionnumerosity cognitionquantity discrimination

Identifiers

PMID34827804
PMCPMC8614421
OpenAlexW3209567454

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.