Bumblebees Use Sequential Scanning of Countable Items in Visual Patterns to Solve Numerosity Tasks.


Journal

Integrative and comparative biology
ISSN: 1557-7023
Titre abrégé: Integr Comp Biol
Pays: England
ID NLM: 101152341

Informations de publication

Date de publication:
01 10 2020
Historique:
pubmed: 6 5 2020
medline: 25 2 2023
entrez: 6 5 2020
Statut: ppublish

Résumé

Most research in comparative cognition focuses on measuring if animals manage certain tasks; fewer studies explore how animals might solve them. We investigated bumblebees' scanning strategies in a numerosity task, distinguishing patterns with two items from four and one from three, and subsequently transferring numerical information to novel numbers, shapes, and colors. Video analyses of flight paths indicate that bees do not determine the number of items by using a rapid assessment of number (as mammals do in "subitizing"); instead, they rely on sequential enumeration even when items are presented simultaneously and in small quantities. This process, equivalent to the motor tagging ("pointing") found for large number tasks in some primates, results in longer scanning times for patterns containing larger numbers of items. Bees used a highly accurate working memory, remembering which items have already been scanned, resulting in fewer than 1% of re-inspections of items before making a decision. Our results indicate that the small brain of bees, with less parallel processing capacity than mammals, might constrain them to use sequential pattern evaluation even for low quantities.

Identifiants

pubmed: 32369562
pii: 5830514
doi: 10.1093/icb/icaa025
pmc: PMC7750931
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

929-942

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Integrative and Comparative Biology.

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Auteurs

HaDi MaBouDi (H)

School of Biological and Chemical Sciences, Queen Mary University of London, London E1 4NS, UK.

H Samadi Galpayage Dona (HS)

School of Biological and Chemical Sciences, Queen Mary University of London, London E1 4NS, UK.

Elia Gatto (E)

Department of General Psychology, University of Padova, 35131 Padova, Italy.

Olli J Loukola (OJ)

School of Biological and Chemical Sciences, Queen Mary University of London, London E1 4NS, UK.

Emma Buckley (E)

School of Biological and Chemical Sciences, Queen Mary University of London, London E1 4NS, UK.
Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK.

Panayiotis D Onoufriou (PD)

School of Biological and Chemical Sciences, Queen Mary University of London, London E1 4NS, UK.

Peter Skorupski (P)

Institute of Medical and Biomedical Education, St George's, University of London, London SW17 0RE, UK.

Lars Chittka (L)

School of Biological and Chemical Sciences, Queen Mary University of London, London E1 4NS, UK.
Wissenschaftskolleg zu Berlin-Institute for Advanced Study, Wallotstrasse 19, 14193 Berlin, Germany.

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Classifications MeSH