Evidence map›Paper›PMID 31666918›Full record

ArticleCommunicative & integrative biology2019

Achieving arithmetic learning in honeybees and examining how individuals learn.

Scarlett R Howard, Aurore Avarguès-Weber, Jair E Garcia, Andrew D Greentree, Adrian G Dyer

Abstract read
In one paragraph

Article in Communicative & integrative biology, 2019. 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
–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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Ants Can Anticipate the Following Quantity in an Arithmetic Sequence.Behavioral sciences (Basel, Switzerland) · 2021
    Article
  7. Reply to comment on HowardProceedings. Biological sciences · 2020
    Article
  8. A Novel Thermal-Visual Place Learning Paradigm for Honeybees (Frontiers in behavioral neuroscience · 2020
    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.

Scarlett R HowardCentre de Recherches sur la Cognition Animale (CRCA), Centre de Biologie Intégrative (CBI), Université de Toulouse, CNRS, UPS, Toulouse, France.ORCID 0000-0002-1895-5409
Aurore Avarguès-WeberCentre de Recherches sur la Cognition Animale (CRCA), Centre de Biologie Intégrative (CBI), Université de Toulouse, CNRS, UPS, Toulouse, France.
Jair E GarciaBio-inspired Digital Sensing (BIDS) Lab, School of Media and Communication, RMIT University, Melbourne, Australia.
Andrew D GreentreeARC Centre of Excellence for Nanoscale BioPhotonics, School of Science, RMIT University, Melbourne, Australia.
Adrian G DyerBio-inspired Digital Sensing (BIDS) Lab, School of Media and Communication, RMIT University, Melbourne, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years honeybees have demonstrated intriguing numerical capacities, leading to the recent discovery of their ability to perform simple arithmetic by learning to add or subtract 'one' using symbolic representations of operators. When training an insect with a miniature brain containing less than one million neurons to understand a conceptual rule, the procedure is of vital importance. We explain in detail the controls and process of designing an experiment to test for complex behaviors in a relatively simple brained animal. Furthermore, we will discuss the finding that individual honeybees do not demonstrate a consistent learning scenario when trained to perform the same tasks, rather they appear to acquire arithmetic rules through individual processes.

Indexed as

Additionarithmeticlearningnumeric cognitionsubtraction

Identifiers

PMID31666918
PMCPMC6802933

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.